Journal articles: 'Image reconstruction. Three-dimensional imaging. Computer vision'

1

Wu, Fupei, Shukai Zhu, and Weilin Ye. "A Single Image 3D Reconstruction Method Based on a Novel Monocular Vision System." Sensors 20, no. 24 (December 9, 2020): 7045. http://dx.doi.org/10.3390/s20247045.

Full text

Abstract:

Three-dimensional (3D) reconstruction and measurement are popular techniques in precision manufacturing processes. In this manuscript, a single image 3D reconstruction method is proposed based on a novel monocular vision system, which includes a three-level charge coupled device (3-CCD) camera and a ring structured multi-color light emitting diode (LED) illumination. Firstly, a procedure for the calibration of the illumination’s parameters, including LEDs’ mounted angles, distribution density and incident angles, is proposed. Secondly, the incident light information, the color distribution information and gray level information are extracted from the acquired image, and the 3D reconstruction model is built based on the camera imaging model. Thirdly, the surface height information of the detected object within the field of view is computed based on the built model. The proposed method aims at solving the uncertainty and the slow convergence issues arising in 3D surface topography reconstruction using current shape-from-shading (SFS) methods. Three-dimensional reconstruction experimental tests are carried out on convex, concave, angular surfaces and on a mobile subscriber identification module (SIM) card slot, showing relative errors less than 3.6%, respectively. Advantages of the proposed method include a reduced time for 3D surface reconstruction compared to other methods, demonstrating good suitability of the proposed method in reconstructing surface 3D morphology.

APA, Harvard, Vancouver, ISO, and other styles

2

Casero, Ramón, Urszula Siedlecka, Elizabeth S. Jones, Lena Gruscheski, Matthew Gibb, Jürgen E. Schneider, Peter Kohl, and Vicente Grau. "Transformation diffusion reconstruction of three-dimensional histology volumes from two-dimensional image stacks." Medical Image Analysis 38 (May 2017): 184–204. http://dx.doi.org/10.1016/j.media.2017.03.004.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Loli Piccolomini, Elena, and Elena Morotti. "A Model-Based Optimization Framework for Iterative Digital Breast Tomosynthesis Image Reconstruction." Journal of Imaging 7, no. 2 (February 13, 2021): 36. http://dx.doi.org/10.3390/jimaging7020036.

Full text

Abstract:

Digital Breast Tomosynthesis is an X-ray imaging technique that allows a volumetric reconstruction of the breast, from a small number of low-dose two-dimensional projections. Although it is already used in the clinical setting, enhancing the quality of the recovered images is still a subject of research. The aim of this paper was to propose and compare, in a general optimization framework, three slightly different models and corresponding accurate iterative algorithms for Digital Breast Tomosynthesis image reconstruction, characterized by a convergent behavior. The suggested model-based implementations are specifically aligned to Digital Breast Tomosynthesis clinical requirements and take advantage of a Total Variation regularizer. We also tune a fully-automatic strategy to set a proper regularization parameter. We assess our proposals on real data, acquired from a breast accreditation phantom and a clinical case. The results confirm the effectiveness of the presented framework in reconstructing breast volumes, with particular focus on the masses and microcalcifications, in few iterations and in enhancing the image quality in a prolonged execution.

APA, Harvard, Vancouver, ISO, and other styles

4

Jiang, Shufeng, and Keqi Wang. "Image Processing and Splicing Method for 3D Optical Scanning Surface Reconstruction of Wood Grain." International Journal of Pattern Recognition and Artificial Intelligence 34, no. 08 (November 20, 2019): 2054021. http://dx.doi.org/10.1142/s021800142054021x.

Full text

Abstract:

Based on environment compensation, scanning image processing technology was employed to investigate point cloud data and space matching method for wood grain. Collision avoidance recognition algorithm was used to collocate mark points, when remarkably reduced the error matching of distance coincidence mark points. The proposed method used marking of flag sample points based on weight to compensate for the marking points ambiguity of distinguishing information in scanning environment, and select the optimal path for the weighted results. The same splicing points in different images was identified, solving the problem of fuzzy splicing by distance matching. Experimental results and three-dimensional (3D) printing wood cross-section model reconstructed by surface fitting were compared. Results showed that the 3D scanning image mosaic of wood growth texture at the cross-section had no obvious stereo characteristics. The proposed method has improved the accuracy of surface mosaic in reverse scanning imaging for wood grain. This method can be applied to support the application needs of reverse surface reconstruction.

APA, Harvard, Vancouver, ISO, and other styles

5

Grass, M., R. Koppe, E. Klotz, R. Proksa, M. H. Kuhn, H. Aerts, J. Op de Beek, and R. Kemkers. "Three-dimensional reconstruction of high contrast objects using C-arm image intensifier projection data." Computerized Medical Imaging and Graphics 23, no. 6 (December 1999): 311–21. http://dx.doi.org/10.1016/s0895-6111(99)00028-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Chen, Yuan-Tsung, and Ming-Shi Wang. "Three-dimensional reconstruction and fusion for multi-modality spinal images." Computerized Medical Imaging and Graphics 28, no. 1-2 (January 2004): 21–31. http://dx.doi.org/10.1016/j.compmedimag.2003.08.001.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Zhang, Ting. "Optimized Fuzzy Clustering Algorithms for Brain MRI Image Segmentation Based on Local Gaussian Probability and Anisotropic Weight Models." International Journal of Pattern Recognition and Artificial Intelligence 32, no. 09 (May 27, 2018): 1857005. http://dx.doi.org/10.1142/s0218001418570057.

Full text

Abstract:

Brain Magnetic Resonance Imaging (MRI) image segmentation is one of the critical technologies of clinical medicine, and is the basis of three-dimensional reconstruction and downstream analysis between normal tissues and diseased tissues. However, there are various limitations in brain MRI images, such as gray irregularities, noise, and low contrast, reducing the accuracy of the brain MRI images segmentation. In this paper, we propose two optimization solutions for the fuzzy clustering algorithm based on local Gaussian probability fuzzy C-means (LGP-FCM) model and anisotropic weight fuzzy C-means (AW-FCM) model and apply it in brain MRI image segmentation. An FCM clustering algorithm is proposed based on AW-FCM. By introducing the new neighborhood weight calculation method, each point has the weight of anisotropy, effectively overcomes the influence of noise on the image segmentation. In addition, the LGP model is introduced in the objective function of fuzzy clustering, and a fuzzy clustering segmentation algorithm based on LGP-FCM is proposed. A clustering segmentation algorithm of adaptive scale fuzzy LGP model is proposed. The neighborhood scale corresponding to each pixel in the image is automatically estimated, which improves the robustness of the model and achieves the purpose of precise segmentation. Extensive experimental results demonstrate that the proposed LGP-FCM algorithm outperforms comparison algorithms in terms of sensitivity, specificity and accuracy. LGP-FCM can effectively segment the target regions from brain MRI images.

APA, Harvard, Vancouver, ISO, and other styles

8

Hoffmeister, Jeffrey W., Gregory C. Rinehart, and Michael W. Vannier. "Three-dimensional surface reconstructions using a general purpose image processing system." Computerized Medical Imaging and Graphics 14, no. 1 (January 1990): 35–42. http://dx.doi.org/10.1016/0895-6111(90)90138-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

9

Yuan, Xiaohui, and Xiaojing Yuan. "Fusion of multi-planar images for improved three-dimensional object reconstruction." Computerized Medical Imaging and Graphics 35, no. 5 (July 2011): 373–82. http://dx.doi.org/10.1016/j.compmedimag.2010.11.013.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Wang, Guohui, Xuan Zhang, and Jin Cheng. "A Unified Shape-From-Shading Approach for 3D Surface Reconstruction Using Fast Eikonal Solvers." International Journal of Optics 2020 (May 29, 2020): 1–12. http://dx.doi.org/10.1155/2020/6156058.

Full text

Abstract:

Object shape reconstruction from images has been an active topic in computer vision. Shape-from-shading (SFS) is an important approach for inferring 3D surface from a single shading image. In this paper, we present a unified SFS approach for surfaces of various reflectance properties using fast eikonal solvers. The whole approach consists of three main components: a unified SFS model, a unified eikonal-type partial differential image irradiance (PDII) equation, and fast eikonal solvers for the PDII equation. The first component is designed to address different reflectance properties including diffuse, specular, and hybrid reflections in the imaging process of the camera. The second component is meant to derive the PDII equation under an orthographic camera projection and a single distant point light source whose direction is the same as the camera. Finally, the last component is targeted at solving the resultant PDII equation by using fast eikonal solvers. It comprises two Godunov-based schemes with fast sweeping method that can handle the eikonal-type PDII equation. Experiments on several synthetic and real images demonstrate that each type of the surfaces can be effectively reconstructed with more accurate results and less CPU running time.

APA, Harvard, Vancouver, ISO, and other styles

11

Tscharf, A., M. Rumpler, F. Fraundorfer, G. Mayer, and H. Bischof. "ON THE USE OF UAVS IN MINING AND ARCHAEOLOGY - GEO-ACCURATE 3D RECONSTRUCTIONS USING VARIOUS PLATFORMS AND TERRESTRIAL VIEWS." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-1/W1 (August 27, 2015): 15–22. http://dx.doi.org/10.5194/isprsannals-ii-1-w1-15-2015.

Full text

Abstract:

During the last decades photogrammetric computer vision systems have been well established in scientific and commercial applications. Especially the increasing affordability of unmanned aerial vehicles (UAVs) in conjunction with automated multi-view processing pipelines have resulted in an easy way of acquiring spatial data and creating realistic and accurate 3D models. With the use of multicopter UAVs, it is possible to record highly overlapping images from almost terrestrial camera positions to oblique and nadir aerial images due to the ability to navigate slowly, hover and capture images at nearly any possible position. Multi-copter UAVs thus are bridging the gap between terrestrial and traditional aerial image acquisition and are therefore ideally suited to enable easy and safe data collection and inspection tasks in complex or hazardous environments. In this paper we present a fully automated processing pipeline for precise, metric and geo-accurate 3D reconstructions of complex geometries using various imaging platforms. Our workflow allows for georeferencing of UAV imagery based on GPS-measurements of camera stations from an on-board GPS receiver as well as tie and control point information. Ground control points (GCPs) are integrated directly in the bundle adjustment to refine the georegistration and correct for systematic distortions of the image block. We discuss our approach based on three different case studies for applications in mining and archaeology and present several accuracy related analyses investigating georegistration, camera network configuration and ground sampling distance. Our approach is furthermore suited for seamlessly matching and integrating images from different view points and cameras (aerial and terrestrial as well as inside views) into one single reconstruction. Together with aerial images from a UAV, we are able to enrich 3D models by combining terrestrial images as well inside views of an object by joint image processing to generate highly detailed, accurate and complete reconstructions.

APA, Harvard, Vancouver, ISO, and other styles

12

Venkatakrishnan, Singanallur, Yuxuan Zhang, Luc Dessieux, Christina Hoffmann, Philip Bingham, and Hassina Bilheux. "Improved Acquisition and Reconstruction for Wavelength-Resolved Neutron Tomography." Journal of Imaging 7, no. 1 (January 15, 2021): 10. http://dx.doi.org/10.3390/jimaging7010010.

Full text

Abstract:

Wavelength-resolved neutron tomography (WRNT) is an emerging technique for characterizing samples relevant to the materials sciences in 3D. WRNT studies can be carried out at beam lines in spallation neutron or reactor-based user facilities. Because of the limited availability of experimental time, potential imperfections in the neutron source, or constraints placed on the acquisition time by the type of sample, the data can be extremely noisy resulting in tomographic reconstructions with significant artifacts when standard reconstruction algorithms are used. Furthermore, making a full tomographic measurement even with a low signal-to-noise ratio can take several days, resulting in a long wait time before the user can receive feedback from the experiment when traditional acquisition protocols are used. In this paper, we propose an interlaced scanning technique and combine it with a model-based image reconstruction algorithm to produce high-quality WRNT reconstructions concurrent with the measurements being made. The interlaced scan is designed to acquire data so that successive measurements are more diverse in contrast to typical sequential scanning protocols. The model-based reconstruction algorithm combines a data-fidelity term with a regularization term to formulate the wavelength-resolved reconstruction as minimizing a high-dimensional cost-function. Using an experimental dataset of a magnetite sample acquired over a span of about two days, we demonstrate that our technique can produce high-quality reconstructions even during the experiment compared to traditional acquisition and reconstruction techniques. In summary, the combination of the proposed acquisition strategy with an advanced reconstruction algorithm provides a novel guideline for designing WRNT systems at user facilities.

APA, Harvard, Vancouver, ISO, and other styles

13

González Izard, Santiago, Ramiro Sánchez Torres, Óscar Alonso Plaza, Juan Antonio Juanes Méndez, and Francisco José García-Peñalvo. "Nextmed: Automatic Imaging Segmentation, 3D Reconstruction, and 3D Model Visualization Platform Using Augmented and Virtual Reality." Sensors 20, no. 10 (May 23, 2020): 2962. http://dx.doi.org/10.3390/s20102962.

Full text

Abstract:

The visualization of medical images with advanced techniques, such as augmented reality and virtual reality, represent a breakthrough for medical professionals. In contrast to more traditional visualization tools lacking 3D capabilities, these systems use the three available dimensions. To visualize medical images in 3D, the anatomical areas of interest must be segmented. Currently, manual segmentation, which is the most commonly used technique, and semi-automatic approaches can be time consuming because a doctor is required, making segmentation for each individual case unfeasible. Using new technologies, such as computer vision and artificial intelligence for segmentation algorithms and augmented and virtual reality for visualization techniques implementation, we designed a complete platform to solve this problem and allow medical professionals to work more frequently with anatomical 3D models obtained from medical imaging. As a result, the Nextmed project, due to the different implemented software applications, permits the importation of digital imaging and communication on medicine (dicom) images on a secure cloud platform and the automatic segmentation of certain anatomical structures with new algorithms that improve upon the current research results. A 3D mesh of the segmented structure is then automatically generated that can be printed in 3D or visualized using both augmented and virtual reality, with the designed software systems. The Nextmed project is unique, as it covers the whole process from uploading dicom images to automatic segmentation, 3D reconstruction, 3D visualization, and manipulation using augmented and virtual reality. There are many researches about application of augmented and virtual reality for medical image 3D visualization; however, they are not automated platforms. Although some other anatomical structures can be studied, we focused on one case: a lung study. Analyzing the application of the platform to more than 1000 dicom images and studying the results with medical specialists, we concluded that the installation of this system in hospitals would provide a considerable improvement as a tool for medical image visualization.

APA, Harvard, Vancouver, ISO, and other styles

14

Balagurunathan, Yoganand, Edward R. Dougherty, Stanislav Frančišković-Bilinski, Halka Bilinski, and Neda Vdović. "MORPHOLOGICAL GRANULOMETRIC ANALYSIS OF SEDIMENT IMAGES." Image Analysis & Stereology 20, no. 2 (May 3, 2011): 87. http://dx.doi.org/10.5566/ias.v20.p87-99.

Full text

Abstract:

Sediments are routinely analyzed in terms of the sizing characteristics of the grains of which they are composed. Via sieving methods, the grains are separated and a weight-based size distribution constructed. Various moment parameters are computed from the size distribution and these serve as sediment characteristics. This paper examines the feasibility of a fully electronic granularity analysis using digital image processing. The study uses a random model of three-dimensional grains in conjunction with the morphological method of granulometric size distributions. The random model is constructed to simulate sand, silt, and clay particle distributions. Owing to the impossibility of perfectly sifting small grains so that they do not touch, the model is used in both disjoint and non-disjoint modes, and watershed segmentation is applied in the non-disjoint model. The image-based granulometric size distributions are transformed so that they take into account the necessity to view sediment fractions at different magnifications and in different frames. Gray-scale granulometric moments are then computed using both ordinary and reconstructive granulometries. The resulting moments are then compared to moments found from real grains in seven different sediments using standard weight-based size distributions.

APA, Harvard, Vancouver, ISO, and other styles

15

Wachter, Andreas, Jan Kost, and Werner Nahm. "Simulation-Based Estimation of the Number of Cameras Required for 3D Reconstruction in a Narrow-Baseline Multi-Camera Setup." Journal of Imaging 7, no. 5 (May 13, 2021): 87. http://dx.doi.org/10.3390/jimaging7050087.

Full text

Abstract:

Graphical visualization systems are a common clinical tool for displaying digital images and three-dimensional volumetric data. These systems provide a broad spectrum of information to support physicians in their clinical routine. For example, the field of radiology enjoys unrestricted options for interaction with the data, since information is pre-recorded and available entirely in digital form. However, some fields, such as microsurgery, do not benefit from this yet. Microscopes, endoscopes, and laparoscopes show the surgical site as it is. To allow free data manipulation and information fusion, 3D digitization of surgical sites is required. We aimed to find the number of cameras needed to add this functionality to surgical microscopes. For this, we performed in silico simulations of the 3D reconstruction of representative models of microsurgical sites with different numbers of cameras in narrow-baseline setups. Our results show that eight independent camera views are preferable, while at least four are necessary for a digital surgical site. In most cases, eight cameras allow the reconstruction of over 99% of the visible part. With four cameras, still over 95% can be achieved. This answers one of the key questions for the development of a prototype microscope. In future, such a system can provide functionality which is unattainable today.

APA, Harvard, Vancouver, ISO, and other styles

16

Huo, Jiaofei, and Xiaomo Yu. "Three-dimensional mechanical parts reconstruction technology based on two-dimensional image." International Journal of Advanced Robotic Systems 17, no. 2 (March 1, 2020): 172988142091000. http://dx.doi.org/10.1177/1729881420910008.

Full text

Abstract:

With the development of computer technology and three-dimensional reconstruction technology, three-dimensional reconstruction based on visual images has become one of the research hotspots in computer graphics. Three-dimensional reconstruction based on visual image can be divided into three-dimensional reconstruction based on single photo and video. As an indirect three-dimensional modeling technology, this method is widely used in the fields of film and television production, cultural relics restoration, mechanical manufacturing, and medical health. This article studies and designs a stereo vision system based on two-dimensional image modeling technology. The system can be divided into image processing, camera calibration, stereo matching, three-dimensional point reconstruction, and model reconstruction. In the part of image processing, common image processing methods, feature point extraction algorithm, and edge extraction algorithm are studied. On this basis, interactive local corner extraction algorithm and interactive local edge detection algorithm are proposed. It is found that the Harris algorithm can effectively remove the features of less information and easy to generate clustering phenomenon. At the same time, the method of limit constraints is used to match the feature points extracted from the image. This method has high matching accuracy and short time. The experimental research has achieved good matching results. Using the platform of binocular stereo vision system, each step in the process of three-dimensional reconstruction has achieved high accuracy, thus achieving the three-dimensional reconstruction of the target object. Finally, based on the research of three-dimensional reconstruction of mechanical parts and the designed binocular stereo vision system platform, the experimental results of edge detection, camera calibration, stereo matching, and three-dimensional model reconstruction in the process of three-dimensional reconstruction are obtained, and the full text is summarized, analyzed, and prospected.

APA, Harvard, Vancouver, ISO, and other styles

17

Dong, Hongwei, and Shuhui Dong. "Image‐based surface deformation for multi‐view three‐dimensional facial reconstruction." IET Computer Vision 8, no. 6 (December 2014): 498–509. http://dx.doi.org/10.1049/iet-cvi.2013.0188.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Lai, Jiing-Yih, Ji-Liang Doong, and Chia-Yu Yao. "Three-dimensional CAD model reconstruction from image data of computer tomography." International Journal of Imaging Systems and Technology 10, no. 4 (1999): 328–38. http://dx.doi.org/10.1002/(sici)1098-1098(1999)10:4<328::aid-ima4>3.0.co;2-a.

Full text

APA, Harvard, Vancouver, ISO, and other styles

19

Yasuno, Takayuki, and Teruo Hamano. "Three-dimensional reconstruction using homocentric spherical spatiotemporal image analysis." Journal of Visual Communication and Image Representation 2, no. 4 (December 1991): 365–72. http://dx.doi.org/10.1016/1047-3203(91)90017-a.

Full text

APA, Harvard, Vancouver, ISO, and other styles

20

Chen, Li Ying. "Simulation on the Aerobics Action Reconstruction Based on Three-Dimensional Motion Vision." Applied Mechanics and Materials 556-562 (May 2014): 3921–24. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.3921.

Full text

Abstract:

Aerobics is one of the sports welcomed by the majority of the people. In competitive aerobics sport, a certain evaluation method is adopted to ensure multiple evaluation criteria of aerobics can achieve the best performance, and enhance the competitive level of aerobics players. The traditional aesthetic evaluation method of aerobics is coaches guided out-field approach, the aesthetic effect is optimized by guided and dominated by coaches, but athletes cannot participate in the evaluation system, which leads to poor guidance effect. In this paper, an aerobics movement reconstruction method based on three-dimensional motion vision is proposed. Computer visual recognition technology is utilized to extract characteristic image point of aerobics body, obtain the main features of the edge contour of aerobics body, and then three-dimensional evaluation is processed, the experiment group contains 4 different bodies. Simulation results show that the proposed method which is used to extract the body characteristics image point to process three-dimensional aerobics body shape evaluation, can improve the overall effect greatly, with a good guiding significance.

APA, Harvard, Vancouver, ISO, and other styles

21

Kini, Prashanth, and Atam P. Dhawan. "Three-dimensional imaging and reconstruction of skin lesions." Computerized Medical Imaging and Graphics 16, no. 3 (May 1992): 153–61. http://dx.doi.org/10.1016/0895-6111(92)90070-p.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Boag, A. H., L. A. Kennedy, and M. J. Miller. "Three-Dimensional Microscopic Image Reconstruction of Prostatic Adenocarcinoma." Archives of Pathology & Laboratory Medicine 125, no. 4 (April 1, 2001): 562–66. http://dx.doi.org/10.5858/2001-125-0562-tdmiro.

Full text

Abstract:

Abstract Context.—Routine microscopy provides only a 2-dimensional view of the complex 3-dimensional structure that makes up human tissue. Three-dimensional microscopic image reconstruction has not been described previously for prostate cancer. Objectives.—To develop a simple method of computerized 3-dimensional image reconstruction and to demonstrate its applicability to the study of prostatic adenocarcinoma. Methods.—Serial sections were cut from archival paraffin-embedded prostate specimens, immunostained using antikeratin CAM5.2, and digitally imaged. Computer image–rendering software was used to produce 3-dimensional image reconstructions of prostate cancer of varying Gleason grades, normal prostate, and prostatic intraepithelial neoplasia. Results.—The rendering system proved easy to use and provided good-quality 3-dimensional images of most specimens. Normal prostate glands formed irregular fusiform structures branching off central tubular ducts. Prostatic intraepithelial neoplasia showed external contours similar to those of normal glands, but with a markedly complex internal arrangement of branching lumens. Gleason grade 3 carcinoma was found to consist of a complex array of interconnecting tubules rather than the apparently separate glands seen in 2 dimensions on routine light microscopy. Gleason grade 4 carcinoma demonstrated a characteristic form of glandular fusion that was readily visualized by optically sectioning and rotating the reconstructed images. Conclusions.—Computerized 3-dimensional microscopic imaging holds great promise as an investigational tool. By revealing the structural relationships of the various Gleason grades of prostate cancer, this method could be used to refine diagnostic and grading criteria for this common tumor.

APA, Harvard, Vancouver, ISO, and other styles

23

Zhu, Min, Rongfu Zhang, Pei Ma, Xuedian Zhang, and Qi Guo. "Three-dimensional Reconstruction of Microscopic Image Based on Multi-ST Algorithm." Journal of Imaging Science and Technology 64, no. 2 (March 1, 2020): 20506–1. http://dx.doi.org/10.2352/j.imagingsci.technol.2020.64.2.020506.

Full text

Abstract:

Abstract Three-dimensional (3D) reconstruction is extensively used in microscopic applications. Reducing excessive error points and achieving accurate matching of weak texture regions have been the classical challenges for 3D microscopic vision. A Multi-ST algorithm was proposed to improve matching accuracy. The process is performed in two main stages: scaled microscopic images and regularized cost aggregation. First, microscopic image pairs with different scales were extracted according to the Gaussian pyramid criterion. Second, a novel cost aggregation approach based on the regularized multi-scale model was implemented into all scales to obtain the final cost. To evaluate the performances of the proposed Multi-ST algorithm and compare different algorithms, seven groups of images from the Middlebury dataset and four groups of experimental images obtained by a binocular microscopic system were analyzed. Disparity maps and reconstruction maps generated by the proposed approach contained more information and fewer outliers or artifacts. Furthermore, 3D reconstruction of the plug gauges using the Multi-ST algorithm showed that the error was less than 0.025 mm.

APA, Harvard, Vancouver, ISO, and other styles

24

Shen, Jie, Hong Ye Sun, Hui Bin Wang, Zhe Chen, and Yi Wei. "A Binocular Vision System for Underwater Target Detection." Applied Mechanics and Materials 347-350 (August 2013): 883–90. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.883.

Full text

Abstract:

For the underwater target detecting task, a binocular vision system specialized to the underwater optical environment is proposed. The hardware platform is comprised of a image acquising unit, a image processing unit and a upper computer. Accordingly, the loaded software system is operated for the camera calibration, image preprocessing, feature point extraction, stereo matching and the three-dimensional restoration. The improved Harris operator is introduced for the three-dimensional reconstruction, considering the high scattering and strong attenuation by the underwater optical environment. The experiment results prove that the improved Harris operator is better adapt to the complex underwater optical environment and the whole system has the ability to obtain the three-dimensional coordinate of the underwater target more efficient and accurate.

APA, Harvard, Vancouver, ISO, and other styles

25

Bae, Joungeun, and Hoon Yoo. "Image Enhancement for Computational Integral Imaging Reconstruction via Four-Dimensional Image Structure." Sensors 20, no. 17 (August 25, 2020): 4795. http://dx.doi.org/10.3390/s20174795.

Full text

Abstract:

This paper describes the image enhancement of a computational integral imaging reconstruction method via reconstructing a four-dimensional (4-D) image structure. A computational reconstruction method for high-resolution three-dimensional (3-D) images is highly required in 3-D applications such as 3-D visualization and 3-D object recognition. To improve the visual quality of reconstructed images, we introduce an adjustable parameter to produce a group of 3-D images from a single elemental image array. The adjustable parameter controls overlapping in back projection with a transformation of cropping and translating elemental images. It turns out that the new parameter is an independent parameter from the reconstruction position to reconstruct a 4-D image structure with four axes of x, y, z, and k. The 4-D image structure of the proposed method provides more visual information than existing methods. Computer simulations and optical experiments are carried out to show the feasibility of the proposed method. The results indicate that our method enhances the image quality of 3-D images by providing a 4-D image structure with the adjustable parameter.

APA, Harvard, Vancouver, ISO, and other styles

26

Gibbs, Jonathon A., Michael Pound, Andrew P. French, Darren M. Wells, Erik Murchie, and Tony Pridmore. "Approaches to three-dimensional reconstruction of plant shoot topology and geometry." Functional Plant Biology 44, no. 1 (2017): 62. http://dx.doi.org/10.1071/fp16167.

Full text

Abstract:

There are currently 805 million people classified as chronically undernourished, and yet the World’s population is still increasing. At the same time, global warming is causing more frequent and severe flooding and drought, thus destroying crops and reducing the amount of land available for agriculture. Recent studies show that without crop climate adaption, crop productivity will deteriorate. With access to 3D models of real plants it is possible to acquire detailed morphological and gross developmental data that can be used to study their ecophysiology, leading to an increase in crop yield and stability across hostile and changing environments. Here we review approaches to the reconstruction of 3D models of plant shoots from image data, consider current applications in plant and crop science, and identify remaining challenges. We conclude that although phenotyping is receiving an increasing amount of attention – particularly from computer vision researchers – and numerous vision approaches have been proposed, it still remains a highly interactive process. An automated system capable of producing 3D models of plants would significantly aid phenotyping practice, increasing accuracy and repeatability of measurements.

APA, Harvard, Vancouver, ISO, and other styles

27

He, Ying. "Computer Three-Dimensional Positioning and Reconstruction of Continuous Slice Images of Biological Tissues." Journal of Medical Imaging and Health Informatics 10, no. 2 (February 1, 2020): 469–76. http://dx.doi.org/10.1166/jmihi.2020.2895.

Full text

Abstract:

The physiological and pathological changes of organisms will have certain effects on the morphology of tissues and organs. Conversely, the morphological changes of tissues and organs can also reflect the physiological and pathological changes of organisms to some extent. The bio-tissue slice can provide people with two-dimensional information of the tissue structure on a certain section. In this paper, the image registration algorithm based on mutual information is used to register the slice images of different tissues, and then the image segmentation is used to improve the registration accuracy. The three-dimensional data of the organizational structure is obtained, and the three-dimensional image of the tissue is reconstructed by computer processing. The reconstruction of different tissue slices is used to prove that the algorithm is fast and accurate, and the reconstruction speed of the 3D model is improved, which is of great significance for shortening the diagnostic waiting time.

APA, Harvard, Vancouver, ISO, and other styles

28

Defrise, M., R. Clack, and D. Townsend. "Solution to the three-dimensional image reconstruction problem from two-dimensional parallel projections." Journal of the Optical Society of America A 10, no. 5 (May 1, 1993): 869. http://dx.doi.org/10.1364/josaa.10.000869.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Retraint, Florent, Fran�oise Peyrin, and Jean Marc Dinten. "Three-dimensional regularized binary image reconstruction from three two-dimensional projections using a randomized ICM algorithm." International Journal of Imaging Systems and Technology 9, no. 2-3 (1998): 135–46. http://dx.doi.org/10.1002/(sici)1098-1098(1998)9:2/3<135::aid-ima11>3.0.co;2-w.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Zhang, Yanjun, Jianxin zhao, and Heyong Han. "A 3D Machine Vision-Enabled Intelligent Robot Architecture." Mobile Information Systems 2021 (March 4, 2021): 1–11. http://dx.doi.org/10.1155/2021/6617286.

Full text

Abstract:

In this paper, the principle of camera imaging is studied, and the transformation model of camera calibration is analyzed. Based on Zhang Zhengyou’s camera calibration method, an automatic calibration method for monocular and binocular cameras is developed on a multichannel vision platform. The automatic calibration of camera parameters using human-machine interface of the host computer is realized. Based on the principle of binocular vision, a feasible three-dimensional positioning method for binocular target points is proposed and evaluated to provide binocular three-dimensional positioning of target in simple environment. Based on the designed multichannel vision platform, image acquisition, preprocessing, image display, monocular and binocular automatic calibration, and binocular three-dimensional positioning experiments are conducted. Moreover, the positioning error is analyzed, and the effectiveness of the binocular vision module is verified to justify the robustness of our approach.

APA, Harvard, Vancouver, ISO, and other styles

31

Hirsch, BE, JK Udupa, and D. Roberts. "Three-dimensional reconstruction of the foot from computed tomography scans." Journal of the American Podiatric Medical Association 79, no. 8 (August 1, 1989): 384–94. http://dx.doi.org/10.7547/87507315-79-8-384.

Full text

Abstract:

Recently developed computer programs create a new type of image from the sections created in computed tomography. These images look like actual photographs of internal structures. The authors describe the process of three-dimensional reconstruction in nonmathematical terms, and provide examples of its use in imaging the bones of the foot. They demonstrate the technique's ability to resolve small details, and its usefulness in displaying articular surfaces.

APA, Harvard, Vancouver, ISO, and other styles

32

Gremillet, Ph, M. Jourlin, Cph Bron, J. Schüpbach, H. P. Gautschi, and Th Bächi. "Dedicated image analysis techniques for three-dimensional reconstruction from serial sections in electron microscopy." Machine Vision and Applications 4, no. 4 (September 1991): 263–70. http://dx.doi.org/10.1007/bf01815303.

Full text

APA, Harvard, Vancouver, ISO, and other styles

33

Glennerster, Andrew. "A moving observer in a three-dimensional world." Philosophical Transactions of the Royal Society B: Biological Sciences 371, no. 1697 (June 19, 2016): 20150265. http://dx.doi.org/10.1098/rstb.2015.0265.

Full text

Abstract:

For many tasks such as retrieving a previously viewed object, an observer must form a representation of the world at one location and use it at another. A world-based three-dimensional reconstruction of the scene built up from visual information would fulfil this requirement, something computer vision now achieves with great speed and accuracy. However, I argue that it is neither easy nor necessary for the brain to do this. I discuss biologically plausible alternatives, including the possibility of avoiding three-dimensional coordinate frames such as ego-centric and world-based representations. For example, the distance, slant and local shape of surfaces dictate the propensity of visual features to move in the image with respect to one another as the observer's perspective changes (through movement or binocular viewing). Such propensities can be stored without the need for three-dimensional reference frames. The problem of representing a stable scene in the face of continual head and eye movements is an appropriate starting place for understanding the goal of three-dimensional vision, more so, I argue, than the case of a static binocular observer. This article is part of the themed issue ‘Vision in our three-dimensional world’.

APA, Harvard, Vancouver, ISO, and other styles

34

COATRIEUX, J. L., C. TOUMOULIN, and R. COLLOREC. "3-D CARDIAC MODELING: A COMPUTER VISION APPROACH IN SPATIO-TEMPORAL IMAGE SEQUENCES." Journal of Biological Systems 04, no. 02 (June 1996): 181–97. http://dx.doi.org/10.1142/s0218339096000144.

Full text

Abstract:

A very active research was conducted on motion analysis. Most of the concepts, methods and assumptions are well established and lead to additional improvements in computer vision applications. Even in medicine where we have to deal with noisy data, low contrast structures and deformable objects, they bring new cues at all the processing stages. This paper emphasizes the specificities of this area and also the potential difficulties. A compilation of results is given aimed at the quantification of heart kinetics in Digital Subtraction Angiography (DSA). They illustrate the benefits of cooperative schemes such as motion based segmentation, moving object identification, three-dimensional reconstruction and interpretation.

APA, Harvard, Vancouver, ISO, and other styles

35

Masters, Barry R. "Three-dimensional imaging of the living eye." Proceedings, annual meeting, Electron Microscopy Society of America 49 (August 1991): 170–71. http://dx.doi.org/10.1017/s0424820100085150.

Full text

Abstract:

The structure of the in situ rabbit cornea can be observed at high resolution and contrast with reflected light confocal microscopy. In vivo confocal images of the living cornea have been made at lower resolution and lower contrast using a SIT video camera together with a real-time Nipkow disk confocal microscope adapted for in vivo observations. This paper describes the three dimensional reconstruction of the in situ cornea from an enucleated rabbit eye with confocal reflected light microscopy and volume rendering computer techniques.A laser scanning confocal microscope (BioRad MRC 600) was used in the reflected light mode to obtain the two-dimensional image stack from the cornea of a freshly enucleated rabbit eye. The eye was maintained in a physiological state with aerated Ringer's solution. The light source was an argon ion laser with a 488 nm wavelength. The microscope objective was a Leitz X25, NA 0.6 water immersion lens. The 400 micron thick cornea was optically sectioned into 133, three micron sections. The optical sectioning was performed perpendicular to the optical axis of the eye globe.

APA, Harvard, Vancouver, ISO, and other styles

36

Rougée, Anne, Catherine Picard, Cyril Ponchut, and Yves Trousset. "Geometrical calibration of x-ray imaging chains for three-dimensional reconstruction." Computerized Medical Imaging and Graphics 17, no. 4-5 (July 1993): 295–300. http://dx.doi.org/10.1016/0895-6111(93)90020-n.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Chen, Feng, Khan Muhammad, and Shui-Hua Wang. "Three-dimensional reconstruction of CT image features based on multi-threaded deep learning calculation." Pattern Recognition Letters 136 (August 2020): 309–15. http://dx.doi.org/10.1016/j.patrec.2020.04.033.

Full text

APA, Harvard, Vancouver, ISO, and other styles

38

Anastasio, Mark A., and Xiaochuan Pan. "Computationally efficient and statistically robust image reconstruction in three-dimensional diffraction tomography." Journal of the Optical Society of America A 17, no. 3 (March 1, 2000): 391. http://dx.doi.org/10.1364/josaa.17.000391.

Full text

APA, Harvard, Vancouver, ISO, and other styles

39

Jia, Qingyu, Liang Chang, Baohua Qiang, Shihao Zhang, Wu Xie, Xianyi Yang, Yangchang Sun, and Minghao Yang. "Real-Time 3D Reconstruction Method Based on Monocular Vision." Sensors 21, no. 17 (September 2, 2021): 5909. http://dx.doi.org/10.3390/s21175909.

Full text

Abstract:

Real-time 3D reconstruction is one of the current popular research directions of computer vision, and it has become the core technology in the fields of virtual reality, industrialized automatic systems, and mobile robot path planning. Currently, there are three main problems in the real-time 3D reconstruction field. Firstly, it is expensive. It requires more varied sensors, so it is less convenient. Secondly, the reconstruction speed is slow, and the 3D model cannot be established accurately in real time. Thirdly, the reconstruction error is large, which cannot meet the requirements of scenes with accuracy. For this reason, we propose a real-time 3D reconstruction method based on monocular vision in this paper. Firstly, a single RGB-D camera is used to collect visual information in real time, and the YOLACT++ network is used to identify and segment the visual information to extract part of the important visual information. Secondly, we combine the three stages of depth recovery, depth optimization, and deep fusion to propose a three-dimensional position estimation method based on deep learning for joint coding of visual information. It can reduce the depth error caused by the depth measurement process, and the accurate 3D point values of the segmented image can be obtained directly. Finally, we propose a method based on the limited outlier adjustment of the cluster center distance to optimize the three-dimensional point values obtained above. It improves the real-time reconstruction accuracy and obtains the three-dimensional model of the object in real time. Experimental results show that this method only needs a single RGB-D camera, which is not only low cost and convenient to use, but also significantly improves the speed and accuracy of 3D reconstruction.

APA, Harvard, Vancouver, ISO, and other styles

40

Tan, Weixian, Pingping Huang, Zengshu Huang, Yaolong Qi, and Wenqin Wang. "Three-Dimensional Microwave Imaging for Concealed Weapon Detection Using Range Stacking Technique." International Journal of Antennas and Propagation 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/1480623.

Full text

Abstract:

Three-dimensional (3D) microwave imaging has been proven to be well suited for concealed weapon detection application. For the 3D image reconstruction under two-dimensional (2D) planar aperture condition, most of current imaging algorithms focus on decomposing the 3D free space Green function by exploiting the stationary phase and, consequently, the accuracy of the final imagery is obtained at a sacrifice of computational complexity due to the need of interpolation. In this paper, from an alternative viewpoint, we propose a novel interpolation-free imaging algorithm based on wavefront reconstruction theory. The algorithm is an extension of the 2D range stacking algorithm (RSA) with the advantages of low computational cost and high precision. The algorithm uses different reference signal spectrums at different range bins and then forms the target functions at desired range bin by a concise coherent summation. Several practical issues such as the propagation loss compensation, wavefront reconstruction, and aliasing mitigating are also considered. The sampling criterion and the achievable resolutions for the proposed algorithm are also derived. Finally, the proposed method is validated through extensive computer simulations and real-field experiments. The results show that accurate 3D image can be generated at a very high speed by utilizing the proposed algorithm.

APA, Harvard, Vancouver, ISO, and other styles

41

Uozumi, Yosuke, Kouki Nagamune, Naoki Nakano, Kanto Nagai, Yuichiro Nishizawa, Yuichi Hoshino, Takehiko Matsushita, Ryosuke Kuroda, and Masahiro Kurosaka. "A Three-Dimensional Evaluation of EndoButton Displacement Direction After Anterior Cruciate Ligament Reconstruction in CT Image Using Tunnel Axis." Journal of Advanced Computational Intelligence and Intelligent Informatics 18, no. 5 (September 20, 2014): 830–38. http://dx.doi.org/10.20965/jaciii.2014.p0830.

Full text

Abstract:

The goal of this study was to propose a threedimensional evaluation of the EndoButton displacement direction after anterior cruciate ligament reconstruction in the multidetector-row computed tomography (MDCT) image by using the tunnel axis. The proposed method was applied experimentally to six subjects. The result of the simulated experiment revealed that the proposed method could analyze EndoButton displacement direction satisfactorily because the error was less than that of the MDCT image resolution. The clinical experiment results revealed displacement relative to the tunnel between time-zero and the followup point. We conclude that the proposed method can quantitatively evaluate the EndoButton displacement direction from the raw MDCT image after anterior cruciate ligament reconstruction; further, our findings suggest that the EndoButton was displaced relative to the tunnel between time-zero and the follow-up point.

APA, Harvard, Vancouver, ISO, and other styles

42

Carr, Renee, Simon MacLean, John Slavotinek, and Gregory Bain. "Four-Dimensional Computed Tomography Scanning for Dynamic Wrist Disorders: Prospective Analysis and Recommendations for Clinical Utility." Journal of Wrist Surgery 08, no. 02 (November 14, 2018): 161–67. http://dx.doi.org/10.1055/s-0038-1675564.

Full text

Abstract:

Background Four-dimensional computed tomography (4D CT) is a rapidly developing diagnostic tool in the assessment of dynamic upper limb disorders. Functional wrist anatomy is incompletely understood, and traditional imaging methods are often insufficient in the diagnosis of dynamic disorders. Technique This study has developed a protocol for 4D CT of the wrist, with the aim of reviewing the clinical utility of this technology in surgical assessment. A Toshiba Aquilion One Vision scanner was used in the protocol, in which two- and three-dimensional “static” images, as well as 4D “dynamic” images were produced and assessed in the clinical context of each patient. These consisted of a series of multiple 7-second movement clips exploring the nature and range of joint motion. Patients and Methods Nineteen patients with symptoms of dynamic instability were included in the study. Patients were assessed clinically by two orthopaedic surgeons, and qualitative data were obtained from radiological interpretation. Results The study demonstrated varied abnormalities of joint movement attributed to a range of wrist pathology, including degenerative arthritis, ligamentous injuries, Kienbock's disease, and pain following previous surgical reconstructive procedures. Interpretation of the 4D CT scan changed the clinical diagnosis in 13 cases (68.4%), including the primary (15.8%) or secondary diagnosis (52.6%). In all cases, the assessment of the dynamic wrist motion assisted in understanding the clinical problem and led to a change in management in 11 cases (57.9%). The mean effective radiation dose for the scan was calculated at 0.26 mSv. Conclusion We have found that the clinical utility of 4D CT lies in its ability to provide detailed information about dynamic joint pathology not seen in traditional imaging, targeting surgical treatment. Limitations to the use of 4D CT scan include lack of availability of the technology, potential radiation dose, and radiographer training requirements, as well as limited understanding of the nature of normal motion.

APA, Harvard, Vancouver, ISO, and other styles

43

Erdenebat, Munkh-Uchral, Byeong-Jun Kim, Yan-Ling Piao, Seo-Yeon Park, Ki-Chul Kwon, Mei-Lan Piao, Kwan-Hee Yoo, and Nam Kim. "Three-dimensional image acquisition and reconstruction system on a mobile device based on computer-generated integral imaging." Applied Optics 56, no. 28 (September 25, 2017): 7796. http://dx.doi.org/10.1364/ao.56.007796.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

McColl, Roddy W., James L. Fleckenstein, John Bowers, Gabrielle Theriault, and Ronald M. Peshock. "Three-dimensional reconstruction of skeletal muscle from MRI." Computerized Medical Imaging and Graphics 16, no. 6 (November 1992): 363–71. http://dx.doi.org/10.1016/0895-6111(92)90054-d.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

Li, Jiang Bo, Xiu Qin Rao, and Yi Bin Ying. "Inspection and Grading of Surface Defects of Fruits by Computer Vision." Advanced Materials Research 317-319 (August 2011): 956–61. http://dx.doi.org/10.4028/www.scientific.net/amr.317-319.956.

Full text

Abstract:

Computer vision is a rapid, consistent and objective inspection technique, which has expanded into many diverse industries. Its speed and accuracy provide one alternative for an automated, non-destructive and cost-effective technique to accomplish ever-increasing production and quality requirements. This method of inspection has found applications in the agricultural industry, including the inspection and grading of fruits. This paper provides an introduction to main defection and grading approaches of fruit external defects, including image processing and pattern recognition methods based on fruit two-dimensional (2D) and three-dimensional (3D) information, and hyperspectral and multispectral imaging. In addition, their advantages and disadvantages are also discussed.

APA, Harvard, Vancouver, ISO, and other styles

46

Mimura, Tetsuya, Shinpei Okawa, Hiroshi Kawaguchi, Yukari Tanikawa, and Yoko Hoshi. "Imaging the Human Thyroid Using Three-Dimensional Diffuse Optical Tomography: A Preliminary Study." Applied Sciences 11, no. 4 (February 12, 2021): 1670. http://dx.doi.org/10.3390/app11041670.

Full text

Abstract:

Thyroid cancer is usually diagnosed by ultrasound imaging and fine-needle aspiration biopsy. However, diagnosis of follicular thyroid carcinomas (FTC) is difficult because FTC lacks nuclear atypia and a consensus on histological interpretation. Diffuse optical tomography (DOT) offers the potential to diagnose FTC because it can measure tumor hypoxia, while image reconstruction of the thyroid is still challenging mainly due to the complex anatomical features of the neck. In this study, we attempted to solve this issue by creating a finite element model of the human neck excluding the trachea (a void region). By reconstruction of the absorption coefficients at three wavelengths, 3D tissue oxygen saturation maps of the human thyroid are obtained for the first time by DOT.

APA, Harvard, Vancouver, ISO, and other styles

47

Miller, C. W., H. Dobson, A. G. Binnington, and S. M. Riley. "Surgical Procedure Simulation via Three Dimensional Computer Aided Reconstruction of Dysplastic Canine Hips." Veterinary and Comparative Orthopaedics and Traumatology 09, no. 04 (October 1996): 152–57. http://dx.doi.org/10.1055/s-0038-1632522.

Full text

Abstract:

SummaryThe purpose of this study was to evaluate the use of three dimensional imaging techniques in veterinary orthopaedic surgery to measure hip congruity and predict changes in congruity resulting from triple pelvic osteotomies of canine hips. Preoperative, postoperative, and post-simulation measurements of congruity were obtained from eight canine hips by determination of Norberg angles from ventrodorsal pelvic radiographs (1), and lateral centre-edge (CE) angles from three dimensional (3 D) reconstructions of computed tomography (CT) scan data (2). Half of the hips were treated with a triple pelvic osteotomy with 30 degrees of axial rotation, and the other half served as approached but unoperated controls. Each measurement was performed three times by a single evaluator blinded to the identity of each hip. Lateral centre-edge angle measurements were more precise than Norberg angle measurements as determined by the calculated measurement of reliability (R = 0.78 and 0.68 respectively). Triple pelvic osteotomy resulted in an increase in congruity (as measured by lateral CE angles) of 52.2 ± 4.6 degrees compared to -3.0 ± 6.3 degrees in the control hips. The medical imaging programme used to perform the 3D reconstructions from CT scan data also allowed manipulation of the resulting preoperative 3D images to simulate on the computer screen the triple pelvic osteotomies performed on the gross specimens. Surgical procedure simulation predicted the change in congruity (as measured by lateral CE angles) of operated hips to be 43.5 ± 8.8 degrees. The images obtained by 3D reconstruction were very sensitive indicators of gross hip morphology. Visualization of structures, superimposed or surrounded by bone, was easily performed on the computer by interactive manipulation of the three dimensional CT scan reconstructions. In addition to its unique imaging capabilities, this technique appears to be a useful method for non-invasive measurement and prediction of the effects of triple pelvic osteotomy on hip congruity in dogs.Three dimensional (3D) computer aided image reconstructions were performed on tomographic scan data collected from dysplastic canine pelves before and after triple pelvic osteotomy (TPO). Descriptions of imaging capabilities and the application of lateral centre-edge angles for the determination of hip congruity are reported. Simulations performed on the computer accurately predicted the changes in congruity achieved by surgery.

APA, Harvard, Vancouver, ISO, and other styles

48

Kholil, Moch d., Ismanto Ismanto, and M. Nur Fu’ad. "REKONTRUKSI MODEL 3D DARI BANYAK GAMBAR MENGGUNAKAN ALGORITMA STRUCTURE FROM MOTION (SFM) DAN MULTI VIEW STEREO (MVS) BERBASIS COMPUTER VISION." Jurnal RESISTOR (Rekayasa Sistem Komputer) 3, no. 2 (November 6, 2020): 108–13. http://dx.doi.org/10.31598/jurnalresistor.v3i2.655.

Full text

Abstract:

With the development of the field of Information and Computer Technology (ICT), three-dimensional technology (3D) is also growing rapidly. Currently, the need to visualize 3D objects is widely used in animation and graphics applications, architecture, education, cultural recognition and virtual reality. 3D modeling of historical buildings has become a concern in recent years. 3D reconstruction is a documentation effort for reconstruction or restoration if the building is destroyed. By using a 3D model reconstruction approach based on multiple images using the Structure From Motion (SFM) and Multi View Stereo (MVS) algorithm, it is hoped that the 3D modeling results can be used as an effort to preserve 3D objects in the cultural heritage area of Penataran Temple. This research was conducted by taking an object in the form of photos as many as 61 pictures in the area of the Blitar Penataran Temple. The resulting photos are reconstructed into a 3D model using the Structure From Motion algorithm in the meshroom. In this study, a test was carried out on the original image with the compressed image for reconstruction to be compared to the 3D reconstruction process from the two input data. From 61 images processed using the Structure Form Motion algorithm, 33 camera pose and 3D point data were obtained, both original and compressed images. For the number of iterations the compressed image is 1.4% less than the original image and takes 43.53% faster than the original image.

APA, Harvard, Vancouver, ISO, and other styles

49

Deng, Shujie, Gavin Wheeler, Nicolas Toussaint, Lindsay Munroe, Suryava Bhattacharya, Gina Sajith, Ei Lin, et al. "A Virtual Reality System for Improved Image-Based Planning of Complex Cardiac Procedures." Journal of Imaging 7, no. 8 (August 19, 2021): 151. http://dx.doi.org/10.3390/jimaging7080151.

Full text

Abstract:

The intricate nature of congenital heart disease requires understanding of the complex, patient-specific three-dimensional dynamic anatomy of the heart, from imaging data such as three-dimensional echocardiography for successful outcomes from surgical and interventional procedures. Conventional clinical systems use flat screens, and therefore, display remains two-dimensional, which undermines the full understanding of the three-dimensional dynamic data. Additionally, the control of three-dimensional visualisation with two-dimensional tools is often difficult, so used only by imaging specialists. In this paper, we describe a virtual reality system for immersive surgery planning using dynamic three-dimensional echocardiography, which enables fast prototyping for visualisation such as volume rendering, multiplanar reformatting, flow visualisation and advanced interaction such as three-dimensional cropping, windowing, measurement, haptic feedback, automatic image orientation and multiuser interactions. The available features were evaluated by imaging and nonimaging clinicians, showing that the virtual reality system can help improve the understanding and communication of three-dimensional echocardiography imaging and potentially benefit congenital heart disease treatment.

APA, Harvard, Vancouver, ISO, and other styles

50

Perry, Jamie L., and David P. Kuehn. "Three-Dimensional Computer Reconstruction of the Levator Veli Palatini Muscle in Situ Using Magnetic Resonance Imaging." Cleft Palate-Craniofacial Journal 44, no. 4 (July 2007): 421–23. http://dx.doi.org/10.1597/06-137.1.

Full text

Abstract:

Objective: Most studies have used two-dimensional (2D) data to image and study the velopharyngeal mechanism, oversimplifying the complexity of the system. Three-dimensional (3D) computer modeling and animation offers the advantage of viewing in all coordinate planes and gives the researcher the ability to apply external forces and chart resultant movement patterns. The objective of this project was to create a 3D model of the velopharyngeal mechanism, with primary focus on the levator veli palatini muscle, based on magnetic resonance imaging (MRI) data to demonstrate the velum at rest and during elevation. Method: Quantitative data, based on MRI analyses and consisting of levator muscle length, width, and orientation were modeled using the Maya software system. Results: Using data derived from MRI analyses, an accurate and realistic computer reconstruction of the levator muscle in situ was possible. A video of the animation was created to demonstrate the anatomy from variable view points, layering of the velar muscles, and movement of the velopharyngeal mechanism during vowel production. Conclusion: Improvements in visualization of the levator veli palatini muscle through 3D computer graphics offer a promising future for the field of speech science in providing advancements in basic research. It will be valuable in applied research and clinical activities such as surgical management for individuals impacted by a cleft palate. It is a step forward in creating models of abnormal anatomy (i.e., cleft palate) and is a step closer to a virtual surgical planning tool.

APA, Harvard, Vancouver, ISO, and other styles

Journal articles on the topic 'Image reconstruction. Three-dimensional imaging. Computer vision'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles