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Journal articles on the topic 'Three-dimensional geometric images'

Author: Grafiati

Published: 28 May 2022

Last updated: 30 July 2025

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1

Gunasekaran, Ganesan, and Meenakshisundaram Venkatesan. "An Efficient Technique for Three-Dimensional Image Visualization Through Two-Dimensional Images for Medical Data." Journal of Intelligent Systems 29, no. 1 (2017): 100–109. http://dx.doi.org/10.1515/jisys-2017-0315.

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Abstract The main idea behind this work is to present three-dimensional (3D) image visualization through two-dimensional (2D) images that comprise various images. 3D image visualization is one of the essential methods for excerpting data from given pieces. The main goal of this work is to figure out the outlines of the given 3D geometric primitives in each part, and then integrate these outlines or frames to reconstruct 3D geometric primitives. The proposed technique is very useful and can be applied to many kinds of images. The experimental results showed a very good determination of the reco

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Fenster, Aaron, Grace Parraga, and Jeff Bax. "Three-dimensional ultrasound scanning." Interface Focus 1, no. 4 (2011): 503–19. http://dx.doi.org/10.1098/rsfs.2011.0019.

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The past two decades have witnessed developments of new imaging techniques that provide three-dimensional images about the interior of the human body in a manner never before available. Ultrasound (US) imaging is an important cost-effective technique used routinely in the management of a number of diseases. However, two-dimensional viewing of three-dimensional anatomy, using conventional two-dimensional US, limits our ability to quantify and visualize the anatomy and guide therapy, because multiple two-dimensional images must be integrated mentally. This practice is inefficient, and may lead t

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Hristov, Pavel, and Emiliyan Petkov. "Study of 3D for Web." Innovative STEM Education 1, no. 1 (2019): 41–47. http://dx.doi.org/10.55630/stem.2019.0106.

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This paper presents solutions for objectives and presentation related to three-dimensional web visualization, implementation of approaches for 3D reconstruction of museum exhibits, creation of models for three-dimensional imaging systems and geometric models of museum exhibits on web, development of web application for displaying three-dimensional images and geometric patterns of museum exhibits.

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Dieulefait, Luis, and Nuria Vila. "On the images of modular and geometric three-dimensional Galois representations." American Journal of Mathematics 126, no. 2 (2004): 335–61. http://dx.doi.org/10.1353/ajm.2004.0009.

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Chinn, Douglas, Peter Ostendorp, Mike Haugh, et al. "Three Dimensional Imaging of LIGA-Made Microcomponents." Journal of Manufacturing Science and Engineering 126, no. 4 (2004): 813–21. http://dx.doi.org/10.1115/1.1812774.

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Nickel and nickel-alloy microparts sized on the order of 5–1000 microns have been imaged in three dimensions using a new microscopic technique, Digital Volumetric Imaging (DVI). The gears were fabricated using Sandia National Laboratories’ LIGA technology (lithography, molding, and electroplating). The images were taken on a microscope built by Resolution Sciences Corporation by slicing the gear into one-micron thin slices, photographing each slice, and then reconstructing the image with software. The images were matched to the original CAD (computer aided design) model, allowing LIGA designer

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Hristov, Pavel, and Emiliyan Petkov. "Study of 3D Technologies for Web." Digital Presentation and Preservation of Cultural and Scientific Heritage 9 (September 13, 2019): 309–14. http://dx.doi.org/10.55630/dipp.2019.9.32.

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This paper presents solutions for objectives and presentation related to 3D technology exploration and three-dimensional web visualization, implementation of approaches for 3D reconstruction of museum exhibits, creation of models for three-dimensional imaging systems and geometric models of museum exhibits on web environment, development of web application for displaying threedimensional images and geometric patterns of museum exhibits.

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Law, Max W. K., Jing Yuan, Oilei O. L. Wong, et al. "Phantom assessment of three-dimensional geometric distortion of a dedicated wide-bore MR-simulator for radiotherapy." Biomedical Physics & Engineering Express 8, no. 2 (2022): 025003. http://dx.doi.org/10.1088/2057-1976/ac3f4f.

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Abstract This study evaluated the machine-dependent three-dimensional geometric distortion images acquired from a 1.5T 700 mm-wide bore MR-simulator based on a large geometric accuracy phantom. With the consideration of radiation therapy (RT) application requirements, every sequence was examined in various combinations of acquisition-orientations and receiver-bandwidths with console-integrated distortion correction enabled. Distortion was repeatedly measured over a six-month period. The distortion measured from the images acquired at the beginning of this period was employed to retrospectively

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Hsu, Shang H., Wuefay Chang, and Ming-Chuen Chuang. "Effects of Geometric Form Features on Three-Dimensional Object Categorization." Perceptual and Motor Skills 100, no. 3_suppl (2005): 899–912. http://dx.doi.org/10.2466/pms.100.3c.899-912.

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The purpose was to investigate the effects of 3-D form features on the object-categorization process. 30 subjects [17 male and 13 female undergraduate industrial design students whose mean age was 20.7 yr. ( SD = 1.5)] were asked to classify 32 3-D prismatic images according to their similarity. Multidimensional scaling and cluster analyses indicated that the classification process was strongly related to the prisms' compounded features. The attention-weighting of each individual form feature was calculated by regression analysis which further indicated that each feature had a different effect

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Cuschieri, J. M., and M. Hebert. "Three-Dimensional Map Generation From Side-Scan Sonar Images." Journal of Energy Resources Technology 112, no. 2 (1990): 96–102. http://dx.doi.org/10.1115/1.2905729.

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The generation of three-dimensional (3-D) images and map building are essential components in the development of an autonomous underwater system. Although the direct generation of 3-D images is more efficient than the recovery of 3-D data from 2-D information, at present for underwater applications where sonar is the main form of remote sensing, the generation of 3-D images can only be achieved by either complex sonar systems or with systems which have a rather low resolution. In this paper an overview is presented on the type of sonar systems that are available for underwater remote sensing,

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Podolszańska, Jolanta. "VALIDATION OF A THREE-DIMENSIONAL HEAD PHANTOM FOR IMAGING DATA." Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska 13, no. 3 (2023): 29–32. http://dx.doi.org/10.35784/iapgos.3663.

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This paper presents the research results on the design of a three-dimensional head phantom for cone beam projection. The head model is based on a Shepp-Logan mathematical head model, which is used to simulate the operation of the CT scanner. The model is then compared with the reference data for structural similarity, reasoning, and shape. The geometric parameters of the obtained images are investigated. The reconstructed image is analyzed using the FDK method. The results show that the geometric parameters directly correlate with the number of projections. A mathematical framework of cone bea

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Hess, Bernhard J. M., and H. Misslisch. "Three-dimensional ocular kinematics underlying binocular single vision." Journal of Neurophysiology 116, no. 6 (2016): 2841–56. http://dx.doi.org/10.1152/jn.00596.2016.

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We have analyzed the binocular coordination of the eyes during far-to-near refixation saccades based on the evaluation of distance ratios and angular directions of the projected target images relative to the eyes' rotation centers. By defining the geometric point of binocular single vision, called Helmholtz point, we found that disparities during fixations of targets at near distances were limited in the subject's three-dimensional visual field to the vertical and forward directions. These disparities collapsed to simple vertical disparities in the projective binocular image plane. Subjects we

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Shynkarenko, V. I., and R. R. Chyhir. "Constructive-synthesizing modelling of three-dimensional fractal surfaces." System technologies 1, no. 156 (2025): 78–88. https://doi.org/10.34185/1562-9945-1-156-2025-09.

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The study considers the fractal properties of architectural structures, in particular, mul-ti-tiered structures such as a pagoda. The pagoda is an example of a building where each lev-el repeats the geometric motif of the previous one, decreasing in scale but maintaining the overall structure and proportions. Representation of the pagoda model using fractal geometry and Bézier surfaces to re-produce curved elements is the main element of the work. An algorithm for the formation of an architectural structure, where each level is modelled on the basis of the previous one through a sequential red

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Barr, Alan, and David Hawkins. "An Anatomical Database Providing Three-Dimensional Geometric Representation of Lower Limb Structures." Journal of Applied Biomechanics 16, no. 3 (2000): 301–8. http://dx.doi.org/10.1123/jab.16.3.301.

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An anatomical database was constructed containing three-dimensional geometric representations of the structures comprising the lower extremity. The database was constructed by digitizing 100 high-resolution digital photographic images supplied from the National Library of Medicine’s Visual Human Male (VHM) project. These images were taken of sequential transverse cross-sectional slices of the leg. Slices were located 1 cm apart between a location approximately 3 mm below the superior aspect of the ilium and approximately 2 mm below the distal end of the fibula. Image Tool Software (v. 2.0) was

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Wang, M., Y. Ye, M. Sun, X. Tan, and L. Li. "ROBUST REGISTRATION FOR OPTICAL AND SAR IMAGES BASED ON SPATIAL GEOMETRIC CONSTRAINT AND STRUCTURE FEATURES." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-1-2020 (August 3, 2020): 117–24. http://dx.doi.org/10.5194/isprs-annals-v-1-2020-117-2020.

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Abstract. Automatic registration of optical and synthetic aperture radar (SAR) images is a challenging task due to significant geometric deformation and radiometric differences between two images. To address this issue, this paper proposes an automatic registration method for optical and SAR images based on spatial geometric constraint and structure features. Firstly, the Harris detector with a block strategy is used to extract evenly distributed feature points in the images. Subsequently, a local geometric correction is performed by using the Rational Function Model, which eliminates the rota

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Shen, Sheng, Yamian Zeng, Changqin Lai, Shaofei Jiang, Shaofen Wu, and Shenglan Ma. "Rapid Three-Dimensional Reconstruction of Underwater Defective Pile Based on Two-Dimensional Images Obtained Using Mechanically Scanned Imaging Sonar." Structural Control and Health Monitoring 2023 (March 28, 2023): 1–26. http://dx.doi.org/10.1155/2023/3647434.

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Three-dimensional (3-D) reconstruction based on sonar imaging is an intuitive and comprehensible form for describing an underwater defective pile. Most existing 3-D reconstruction methods are inefficient as they require the extraction of numerous feature points from many sonar images. A rapid 3-D reconstruction method for underwater defective piles based on two-dimensional (2-D) images obtained using mechanically scanned imaging sonar (MSIS) is proposed herein. First, the correspondences between the geometric features of MSIS images and actual defects are established based on the mapping relat

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Lee, Yangming. "Three-Dimensional Dense Reconstruction: A Review of Algorithms and Datasets." Sensors 24, no. 18 (2024): 5861. http://dx.doi.org/10.3390/s24185861.

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Three-dimensional dense reconstruction involves extracting the full shape and texture details of three-dimensional objects from two-dimensional images. Although 3D reconstruction is a crucial and well-researched area, it remains an unsolved challenge in dynamic or complex environments. This work provides a comprehensive overview of classical 3D dense reconstruction techniques, including those based on geometric and optical models, as well as approaches leveraging deep learning. It also discusses the datasets used for deep learning and evaluates the performance and the strengths and limitations

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Zhang, Su, Minglang Yu, Haoyu Chen, et al. "Three-Dimensional Geometric-Physical Modeling of an Environment with an In-House-Developed Multi-Sensor Robotic System." Remote Sensing 16, no. 20 (2024): 3897. http://dx.doi.org/10.3390/rs16203897.

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Environment 3D modeling is critical for the development of future intelligent unmanned systems. This paper proposes a multi-sensor robotic system for environmental geometric-physical modeling and the corresponding data processing methods. The system is primarily equipped with a millimeter-wave cascaded radar and a multispectral camera to acquire the electromagnetic characteristics and material categories of the target environment and simultaneously employs light detection and ranging (LiDAR) and an optical camera to achieve a three-dimensional spatial reconstruction of the environment. Specifi

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Cai, Yun, Hao Li, Ming Fei Wu, and Biao Yang. "Texture Mapping Method of Laser Point Cloud and Digital Image Based on Projection Transformation." Advanced Materials Research 864-867 (December 2013): 2792–98. http://dx.doi.org/10.4028/www.scientific.net/amr.864-867.2792.

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In view of the lack of high-precision and high-resolution texture information of three-dimensional laser point cloud, this paper proposes a fusion method of three-dimensional laser point cloud and high-resolution digital images. Firstly the point cloud is transformed to the spherical image of laser intensity by projection. Then the rigorous projection transformation relation between the external digital image and three-dimensional point cloud is constructed easily through spherical image and feature information. Finally the color information of the point cloud is given by digital images. The e

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Özkan, Ermiş, Ece Oktay, Buket Çakar, Yusuf Altundağ, Gülsün Pazvant, and Barış Can Güzel. "Three-dimensional (3D) Geometric Morphometrics of the Carnivora Axis: Shape variation, Allometry." Turkish Journal of Veterinary Research 9, no. 1 (2025): 25–31. https://doi.org/10.47748/tjvr.1539053.

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Objective:Axis is an important bone due to the structures it is adjacent to and the contribution it makes to the bony structure of the neck. This bone is also responsible for carrying the neck. Since there is not any similar study in the literature, we wanted to investigate the three-dimensional geometrical morphometry of the second vertebrae cervicales, specifically the axis. For this purpose, 17 axis bones from 8 different domestic species belonging to the carnivora family were analysed. Materials and Methods:CT images of the bones were converted into three-dimensional (3D) bone surfaces. A

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Voloshinov, Denis. "Algorithmic Complex for Solving of Problems with Quadrics Using Imaginary Geometric Images." Geometry & Graphics 8, no. 2 (2020): 3–32. http://dx.doi.org/10.12737/2308-4898-2020-3-32.

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The paper is devoted to the consideration of a number of issues related to the creation of an algorithmic complex designed to solve positional and metric problems with quadrics on a projection model . A feature of the complex is the active use of geometric schemes and algorithms involving imaginary geometric images. In the paper has been presented a detailed description of constructive geometric algorithms for constructing of conics, quadrics and associated geometric images in a system of constructive geometric modeling – Simplex. All the discussed algorithms are available for independent repe

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Haberthür, David, Mikki Law, Kassandra Ford, Marcel Häsler, Ole Seehausen, and Ruslan Hlushchuk. "Microtomographic investigation of a large corpus of cichlids." PLOS ONE 18, no. 9 (2023): e0291003. http://dx.doi.org/10.1371/journal.pone.0291003.

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A large collection of cichlids (N = 133) from Lake Victoria in Africa, with total lengths ranging from 6 to 18 cm was nondestructively imaged using micro-computed tomography. We present a method to efficiently obtain three-dimensional tomographic datasets of the oral and pharyngeal jaws and the whole skull of these fishes to accurately describe their morphology. The tomographic data we acquired (9.8 TB of projection images) yielded 1.5 TB of three-dimensional image stacks used for extracting the relevant features of interest. Herein we present our method and outlooks on analyzing the acquired

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Setiawati, H., D. Juniati, and S. Khabibah. "Student’s Geometric Thinking in Understanding Volume with Three-Dimensional Images of Cubes and Nets." Journal of Physics: Conference Series 1417 (December 2019): 012053. http://dx.doi.org/10.1088/1742-6596/1417/1/012053.

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Wong, Ming-Hei, Meixi Li, King-Man Tam, et al. "A Quasiconformal-Based Geometric Model for Craniofacial Analysis and Its Application." Axioms 12, no. 4 (2023): 393. http://dx.doi.org/10.3390/axioms12040393.

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We address the problem of craniofacial morphometric analysis using geometric models, which has important clinical applications for the diagnosis of syndromes associated with craniofacial dysmorphologies. In this work, a novel geometric model is proposed to analyze craniofacial structures based on local curvature information and Teichmüller mappings. A key feature of the proposed model is that its pipeline starts with few two-dimensional images of the human face captured at different angles, from which the three-dimensional craniofacial structure can be reconstructed. The 3D surface reconstruct

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Sufelfa, A. R., and D. I. Kaplun. "Analysis of Methods for Preliminary Processing of Digital Geometric Models of the Lower Limb Stump." LETI Transactions on Electrical Engineering & Computer Science 16, no. 3 (2023): 37–45. http://dx.doi.org/10.32603/2071-8985-2023-16-3-37-45.

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We analyze available methods for representing and visualizing three-dimensional models as applied to the problem of preliminary processing of digital geometric models of the lower limb stump in the creation of a prosthetic socket model. The research methodology involved the methods of processing three-dimensional images, classification, and clustering. As a result of the conducted research, the methods suitable for developing an algorithm for preliminary processing of a digital geometric model of the lower limb stump in the creation of a prosthetic socket model. Such an algorithm automates seg

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Benzon, Hans-Henrik, Xiao Chen, Lewis Belcher, Oscar Castro, Kim Branner, and Jesper Smit. "An Operational Image-Based Digital Twin for Large-Scale Structures." Applied Sciences 12, no. 7 (2022): 3216. http://dx.doi.org/10.3390/app12073216.

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This study presents a novel methodology to create an operational Digital Twin for large-scale structures based on drone inspection images. The Digital Twin is primarily used as a virtualized representation of the structure, which will be updated according to physical changes during the life cycle of the structure. The methodology is demonstrated on a wind turbine transition piece. A three-dimensional geometry reconstruction of a transition piece as manufactured is created using a large number (>500) of RGB images collected from a drone and/or several LiDAR scans. Comparing the reconstructio

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Ban, Yuxi, Mingzhe Liu, Peng Wu, et al. "Depth Estimation Method for Monocular Camera Defocus Images in Microscopic Scenes." Electronics 11, no. 13 (2022): 2012. http://dx.doi.org/10.3390/electronics11132012.

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When using a monocular camera for detection or observation, one only obtain two-dimensional information, which is far from adequate for surgical robot manipulation and workpiece detection. Therefore, at this scale, obtaining three-dimensional information of the observed object, especially the depth information estimation of the surface points of each object, has become a key issue. This paper proposes two methods to solve the problem of depth estimation of defiant images in microscopic scenes. These are the depth estimation method of the defocused image based on a Markov random field, and the

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Vorontsov, Oleg, and Iryna Vorontsova. "DEPENDENCIES OF THE FINITE DIFFERENCE AND SUPERPOSITION COEFFICIENTS OF ONE-DIMENSIONAL GEOMETRIC POINTS FORMATION." APPLIED GEOMETRY AND ENGINEERING GRAPHICS, no. 105 (February 2, 2024): 62–80. https://doi.org/10.32347/0131-579x.2023.105.62-80.

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A general approach to determining the regularities of changes in the values of superposition coefficients of one-dimensional point sets based on given calculation schemes, which allows solving the problems of continuous-discrete interpolation and extrapolation by numerical sequences of any one-dimensional functional dependencies at three arbitrarily specified nodal points are represented in the article. One of the tasks of this work is to continue research on the definition of discrete points of curved lines based on the classical method of finite differences, the static-geometric method of mo

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Lin, Zhaoji, Yutao Huang, and Li Yao. "Three-Dimensional Reconstruction of Indoor Scenes Based on Implicit Neural Representation." Journal of Imaging 10, no. 9 (2024): 231. http://dx.doi.org/10.3390/jimaging10090231.

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Reconstructing 3D indoor scenes from 2D images has always been an important task in computer vision and graphics applications. For indoor scenes, traditional 3D reconstruction methods have problems such as missing surface details, poor reconstruction of large plane textures and uneven illumination areas, and many wrongly reconstructed floating debris noises in the reconstructed models. This paper proposes a 3D reconstruction method for indoor scenes that combines neural radiation field (NeRFs) and signed distance function (SDF) implicit expressions. The volume density of the NeRF is used to pr

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Wu, Xing Hui, and Zhi Xiu Hao. "Evaluation of Spherical Parameterization Methods for Three-Dimensional Reconstruction of Medical Images." Applied Mechanics and Materials 365-366 (August 2013): 1342–49. http://dx.doi.org/10.4028/www.scientific.net/amm.365-366.1342.

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The spherical parameterization is important for the correspondence problem that is a major part of statistical shape modelling for the reconstruction of patient-specific 3D models from medical images. In this paper, we present comparative studies of five common spherical mapping methods applied to the femur and tibia models: the Issenburg et al. method, the Alexa method, the Saba et al. method, the Praun et al. method and the Shen et al. method. These methods are evaluated using three sets of measures: distortion property, geometric error and distance to standard landmarks. Results show that t

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Spinale, F. G., B. A. Carabello, and F. A. Crawford. "Right ventricular function and three-dimensional modeling using computer-aided design." Journal of Applied Physiology 68, no. 4 (1990): 1707–16. http://dx.doi.org/10.1152/jappl.1990.68.4.1707.

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Right ventricular (RV) volumetric and morphological analysis is complicated by the trabeculations and geometric configuration of the RV chamber. To improve RV analysis, custom computer-aided design programs were employed to obtain RV volumes and three-dimensional models from biplane ventriculograms. Biplane RV ventriculograms were analyzed from 14 anesthetized dogs and 22 RV casts. Computed volumes were highly correlated with reference RV volumes (r = 0.98, n = 36, P less than 0.01) with a range of 5-73 ml. Three-dimensional wire-frame and solid models constructed from the ventriculographic im

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DeHoff, R. T. "Stereological ground rules." Proceedings, annual meeting, Electron Microscopy Society of America 51 (August 1, 1993): 540–41. http://dx.doi.org/10.1017/s0424820100148538.

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Microstructures have three primary attributes: chemistry; physics; and geometry. The chemical and physical attributes are routinely quantified. The geometry of microstructures is almost never quantified in spite of the existence of a sophisticated but easy to use measuring apparatus for the purpose called stereology.Stereology is a mathematical apparatus that permits statistical inference of the geometric properties of three dimensional microstructures from information obtained from images of the structure that are essentially two dimensional. This tool is not widely used mostly because the gr

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Ottensmeyer, F. P., and N. A. Farrow. "Three-dimensional reconstruction from dark-field electron micrographs of macromolecules at random unknown angles." Proceedings, annual meeting, Electron Microscopy Society of America 50, no. 2 (1992): 1058–59. http://dx.doi.org/10.1017/s0424820100129929.

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Electron microscopy produces 2D images of 3D objects with resolutions generally from about 2-5 nm for stained or shadowed specimens, to as good as 0.3-0.5 nm for unstained specimens using bright field or dark field techniques. Many groups have worked on methods that attempt to recover the 3D information that is lost in the 2D representation. We have built on and extended previous techniques, and report here the development and application of a robust, unbiased quaternion-based alignment procedure to facilitate 3D reconstruction of molecules imaged at random unknown orientations. The approach i

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Aparicio Resco, Pablo, Juan D. Carmona Barrero, Miguel Fernández Díaz, and Pere M. Martín Serrano. "“Fotogrametría Involuntaria”: rescatando información geométrica en 3D de fotografías de archivo." Virtual Archaeology Review 5, no. 10 (2014): 11. http://dx.doi.org/10.4995/var.2014.4205.

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Nowadays digital photogrammetry has become one of the most efficient techniques for Heritage documentation. The creation of three-dimensional models from images taken with digital cameras is the usual procedure. The aim of this paper is showing the results obtained by photogrammetric analysis of library pictures, taken mainly in archaeological excavations, to recover three-dimensional information that maybe latent, although the shots had not been made with the purpose of creating 3D models. In this way we have generated three-dimensional models in which can be recovered geometric data that wer

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Barsoukova-Sergeeva, Olga M. "Geometrical Images in Lexis and Phraseology of Modern Russian Language." World of the Russian Word, no. 3 (2023): 4–10. http://dx.doi.org/10.21638/spbu30.2023.301.

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The article reviews geometrical objects as a factor forming the image system of modern Russian language, and explores the lexical units motivated by the concept of geometrical objects and phraseological units with geometrical components. This approach reveals multiplicity of geometrical objects participating in the process: there are three-dimensional (sphere, spatial angle, etc.), two-dimensional (circle), one-dimensional (line, etc.) and geometrical objects without dimension (point). When considering the language material the author uses the concept of the inner form of the word. Numerous ex

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TANAKA, REIKO, ISAO SAIKI, and KIYOHIRO IKEDA. "GROUP-THEORETIC BIFURCATION MECHANISM OF PATTERN FORMATION IN THREE-DIMENSIONAL UNIFORM MATERIALS." International Journal of Bifurcation and Chaos 12, no. 12 (2002): 2767–97. http://dx.doi.org/10.1142/s0218127402006163.

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An underlying mathematical mechanism for formation of periodic geometric patterns in uniform materials is investigated. Symmetry of a rectangular parallelepiped domain with periodic boundaries is modeled as an equivariance to a group O (2) × O (2) × O (2). The standard group-theoretic approach is used to investigate possible patterns of this domain that emerge through direct and some secondary bifurcations. This investigation clarifies the mechanism of successive symmetry-breaking bifurcation, which entails a variety of geometrical patterns in three-dimensional uniform materials. In particular

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Adamopoulos, Efstathios, Monica Volinia, Mario Girotto, and Fulvio Rinaudo. "Three-Dimensional Thermal Mapping from IRT Images for Rapid Architectural Heritage NDT." Buildings 10, no. 10 (2020): 187. http://dx.doi.org/10.3390/buildings10100187.

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Thermal infrared imaging is fundamental to architectural heritage non-destructive diagnostics. However, thermal sensors’ low spatial resolution allows capturing only very localized phenomena. At the same time, thermal images are commonly collected with independence of geometry, meaning that no measurements can be performed on them. Occasionally, these issues have been solved with various approaches integrating multi-sensor instrumentation, resulting in high costs and computational times. The presented work aims at tackling these problems by proposing a workflow for cost-effective three-dimensi

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Guo, Weihong, Yunmei Chen, and Qingguo Zeng. "A geometric flow-based approach for diffusion tensor image segmentation." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 366, no. 1874 (2008): 2279–92. http://dx.doi.org/10.1098/rsta.2008.0042.

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Diffusion tensor magnetic resonance imaging (DT-MRI, shortened as DTI) produces, from a set of diffusion-weighted magnetic resonance images, tensor-valued images where each voxel is assigned a 3×3 symmetric, positive-definite matrix. This tensor is simply the covariance matrix of a local Gaussian process with zero mean, modelling the average motion of water molecules. We propose a three-dimensional geometric flow-based model to segment the main core of cerebral white matter fibre tracts from DTI. The segmentation is carried out with a front propagation algorithm. The front is a three-dimension

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Dai, Peishan, Boliang Wang, Chunbo Bao, and Ying Ju. "Constructing a Computer Model of the Human Eye Based on Tissue Slice Images." International Journal of Biomedical Imaging 2010 (2010): 1–10. http://dx.doi.org/10.1155/2010/921469.

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Computer simulation of the biomechanical and biological heat transfer in ophthalmology greatly relies on having a reliable computer model of the human eye. This paper proposes a novel method on the construction of a geometric model of the human eye based on tissue slice images. Slice images were obtained from an in vitro Chinese human eye through an embryo specimen processing methods. A level set algorithm was used to extract contour points of eye tissues while a principle component analysis was used to detect the central axis of the image. The two-dimensional contour was rotated around the ce

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Ott, Tobias, Diego Roldán, Claudia Redenbach, Katja Schladitz, Michael Godehardt, and Sören Höhn. "Three-dimensional structural comparison of tantalum glancing angle deposition thin films by FIB-SEM." Journal of Sensors and Sensor Systems 8, no. 2 (2019): 305–15. http://dx.doi.org/10.5194/jsss-8-305-2019.

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Abstract. Thin tantalum films generated by glancing angle deposition serve as functional optical layers, for instance as absorption layers for ultrathin infrared sensors. They consist of nano-rods whose dimensions and distribution influence the optical properties of the thin film. Serial sectioning by a focused ion beam combined with scanning electron microscopy of the slices generates stacks of highly resolved images of this nanostructure. Dedicated image processing reconstructs the spatial structure from this stack such that 3-D image analysis yields geometric information that can be related

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Usuki, Shin, and Kenjiro Takai Miura. "Nano-Micro Geometric Modeling Using Microscopic Image." Key Engineering Materials 523-524 (November 2012): 345–49. http://dx.doi.org/10.4028/www.scientific.net/kem.523-524.345.

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In recent years, there are a lot of active researches on nano-micro manufacturing and metrology, since not only industrial fields but also medical fields require higher accuracy with respect to miniaturizing size of the target. However, we cannot make an effective use of three dimensional measurement data for the nano-micro design and manufacturing due to a wide variety of instruments, resolutions, and noises. In fact, the nano-micro geometric modeling is at an early stage of development in spite of its importance for the next generation. In order to find a solution to this problem, we propose

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Neilson, Peter, Megan Neilson, and Robin Bye. "A Riemannian Geometry Theory of Three-Dimensional Binocular Visual Perception." Vision 2, no. 4 (2018): 43. http://dx.doi.org/10.3390/vision2040043.

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We present a Riemannian geometry theory to examine the systematically warped geometry of perceived visual space attributable to the size–distance relationship of retinal images associated with the optics of the human eye. Starting with the notion of a vector field of retinal image features over cortical hypercolumns endowed with a metric compatible with that size–distance relationship, we use Riemannian geometry to construct a place-encoded theory of spatial representation within the human visual system. The theory draws on the concepts of geodesic spray fields, covariant derivatives, geodesic

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Apfel, Howard D., Zhanqing Shen, Lawrence M. Boxt, et al. "Three-dimensional echocardiographic assessment of right ventricular volume and function in patients with pulmonary hypertension." Cardiology in the Young 7, no. 3 (1997): 317–24. http://dx.doi.org/10.1017/s1047951100004212.

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AbsractThe structural complexity of the right ventricle has made quantitative evaluation difficult. Conventional cross-sectional echocardiographic methods are limited by geometric assumptions and the position of the planes used for imaging. Previous reports have demonstrated accurate three-dimensional echocardiographic quantitation of the right ventricle in-vitro and in experimental animals. We adapted a previously described method for three-dimensional reconstruction of the left ventricle to compute right ventricular volume and ejection fraction in a clinical setting.We examined 29 patients a

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Motayyeb, S., S. A. Fakhri, M. Varshosaz, and S. Pirasteh. "ENHANCING CONTRAST OF IMAGES TO IMPROVE GEOMETRIC ACCURACY OF A UAV PHOTOGRAMMETRY PROJECT." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B1-2022 (May 30, 2022): 389–98. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2022-389-2022.

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Abstract. In recent years, Unmanned Aerial Vehicles (UAVs) have become popular tools in mapping applications. In such applications, the image motion, bad lighting effects, and poor texture all directly affect the quality of the derived tie points, which in turn imposes constraints on image extraction and may lead to a low accuracy point cloud. This paper proposes a contrast enhancement technique to improve the accuracy of a photogrammetric model created using UAV images. The luminance component (Y) in the YIQ color space is normalized using the sigmoid function, and the low contrast images are

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Liu, Yu, and Guofeng Liu. "Three-Dimensional Processing of Reflections for Passive-Source Seismology Based on Geometric Design." Applied Sciences 13, no. 10 (2023): 6126. http://dx.doi.org/10.3390/app13106126.

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Passive-source exploration is a method of seismic exploration that has loose requirements on the conditions of the surface, is cheap, and does not require excitation by an active source. The ambient seismic signals collected from the field over an extended period of time can be used to generate virtual-shot seismic records similar to those obtained from the seismic exploration of an active source based on the relevant correlations, and this can in turn yield information on the underground structure through a series of conventional methods of processing seismic data. Three-dimensional (3D) proc

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Nagai, Yukie, and Satoshi Kanai. "Special Issue on Advanced Three-Dimensional Digital Geometry Processing." International Journal of Automation Technology 18, no. 5 (2024): 589–90. http://dx.doi.org/10.20965/ijat.2024.p0589.

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Geometry processing is a software technology that facilitates the appropriate and efficient conversion and processing of digital geometric data, including sampled points, curves, surfaces, images, and volumetric data, based on the intended application. It is a versatile technology and is increasingly adopted in diverse fields that rely on digital technologies and for the popularization of digital transition. Geometry processing is based on a robust and extensive mathematical framework that has been extensively investigated. As the scope of potential applications expands, the practical applicat

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Zhang, Lei, and Liang Xu. "A 3D Reconstruction of Gas Cloud Leakage Based on Multi-Spectral Imaging Systems." Remote Sensing 17, no. 10 (2025): 1786. https://doi.org/10.3390/rs17101786.

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Remote sensing imaging technology is one of the safest and most effective tools for gas leakage monitoring in chemical parks, as it enables fast and accurate access to detailed information about the gas cloud (e.g., volume, distribution, diffusion, and location) in the case of gas leakage. While multi-spectral imaging systems are commonly used for hazardous gas leakage detection, efforts to realize the three-dimensional reconstruction of gas clouds through data obtained from multi-spectral imaging systems remain scarce. In this study, we propose a method for realizing the three-dimensional rec

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Ma, Mingyu, and Yingni Hou. "Research on Error Point Deletion Technique in Three-Dimensional Reconstruction of ISAR Sequence Images." Sensors 25, no. 6 (2025): 1689. https://doi.org/10.3390/s25061689.

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Three-dimensional reconstruction using a two-dimensional inverse synthetic aperture radar (ISAR) faces dual challenges: geometric distortion in initial point clouds caused by accumulated feature-matching errors and degraded reconstruction accuracy due to point cloud outlier interference. This paper proposes an optimized method to delete the error points based on motion vector features and local spatial point cloud density. Before reconstruction, feature point extraction and matching for ISAR sequence images are performed using Harris corner detection and the improved Kanade–Lucas–Tomasi (KLT)

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Slavin, R., N. Kargin, and Boris Slavin. "Development of a System for Semi-Automatic Modeling of Three-Dimensional Images." Geometry & Graphics 11, no. 2 (2023): 47–55. http://dx.doi.org/10.12737/2308-4898-2023-11-2-47-55.

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Descriptive geometry is one of the main disciplines of the general engineering cycle. It presents methods of accurate representation of spatial objects on a plane, as well as the identification of geometric shapes of figures from given images. That is, this discipline is designed to give future engineers the knowledge and skills to build and read drawings. By causing the intensive work of students' spatial thinking, descriptive geometry contributes to the development of spatial representation. In descriptive geometry, a flat image of a spatial object is called a plot (drawing). Stu

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Park, Hanwook, Sung Yong Jung, Jun Hong Park, Jun Ho Kim, and Sang Joon Lee. "Enhancement of measurement accuracy of X-ray PIV in comparison with the micro-PIV technique." Journal of Synchrotron Radiation 25, no. 2 (2018): 552–59. http://dx.doi.org/10.1107/s1600577517017398.

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The X-ray PIV (particle image velocimetry) technique has been used as a non-invasive measurement modality to investigate the haemodynamic features of blood flow. However, the extraction of two-dimensional velocity field data from the three-dimensional volumetric information contained in X-ray images is technically unclear. In this study, a new two-dimensional velocity field extraction technique is proposed to overcome technological limitations. To resolve the problem of finding a correction coefficient, the velocity field information obtained by X-ray PIV and micro-PIV techniques for disturbed

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Yilmazturk, Ferruh, and Ali Ersin Gurbak. "Geometric Evaluation of Mobile-Phone Camera Images for 3D Information." International Journal of Optics 2019 (September 30, 2019): 1–10. http://dx.doi.org/10.1155/2019/8561380.

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This study aimed to investigate the usability of smartphone camera images in 3D positioning applications with photogrammetric techniques. These investigations were performed in two stages. In the first stage, the cameras of five smartphones and a digital compact camera were calibrated using a calibration reference object, with signalized points having known three-dimensional (3D) coordinates. In the calibration process, the self-calibration bundle adjustment method was used. To evaluate the metric performances, the geometric accuracy tests in the image and object spaces were performed and the

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