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Journal articles on the topic 'Points for 3D reconstruction'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Ando, Ryuhei, Yuko Ozasa, and Wei Guo. "Robust Surface Reconstruction of Plant Leaves from 3D Point Clouds." Plant Phenomics 2021 (April 2, 2021): 1–15. http://dx.doi.org/10.34133/2021/3184185.

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The automation of plant phenotyping using 3D imaging techniques is indispensable. However, conventional methods for reconstructing the leaf surface from 3D point clouds have a trade-off between the accuracy of leaf surface reconstruction and the method’s robustness against noise and missing points. To mitigate this trade-off, we developed a leaf surface reconstruction method that reduces the effects of noise and missing points while maintaining surface reconstruction accuracy by capturing two components of the leaf (the shape and distortion of that shape) separately using leaf-specific propert

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Cai, Zhenglong, Junxing Yang, Tianjiao Wang, He Huang, and Yue Guo. "3D Reconstruction of Buildings Based on 3D Gaussian Splatting." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W10-2024 (May 31, 2024): 37–43. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w10-2024-37-2024.

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Abstract. In the current era of urban construction, smart city management, and digital twinning, three-dimensional reconstruction of urban buildings is particularly important. Traditional methods have limitations in reconstructing complex geometric scenes, while new methods such as Nerf focus on using implicit MLP to represent the geometric space of the model, but suffer from slow training and rendering speeds. To address this issue, this paper proposes the use of 3D Gaussian scatter points for three-dimensional reconstruction of urban buildings, improving training speed and reconstruction qua

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Liang, Shi Guo, Ou Yang Yi, and Hui Wang. "Fast Multi-Layer 3D Reconstruction Algorithm." Advanced Materials Research 267 (June 2011): 827–30. http://dx.doi.org/10.4028/www.scientific.net/amr.267.827.

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A fast multi-layer 3d reconstruction algorithm is proposed to realize 3d body surface layer. Based on multi-layer surface reconstructing the shortest triangle line algorithm are proposed. In order to achieve more rapid reconstruction, a fast multi-layer 3D reconstruction algorithm is proposed. When the points on the layers having some errors, or have some offset, during the reconstruction of layered, it will automatically adjust for each pixel value of the selected layer, so that reconstruction process can be completed faster and more accurately . We give optimization method to realize fast re

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Chen, Sheng Yong, Da Wei Liu, Xiao Yan Wang, Wei Huang, and Qiu Guan. "Complete 3D Modeling from Rotational Devices." Advanced Materials Research 317-319 (August 2011): 843–46. http://dx.doi.org/10.4028/www.scientific.net/amr.317-319.843.

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For acquisition of complete 3D models, this paper uses a rotational device to capture a set of image sequences. A direct projective reconstruction method is proposed by linear transformation, which can avoid getting corresponding points in more than two images. Actually, projective reconstructions are obtained from two neighboring images and the reconstructions are combined with the common 3D points. Finally, all reconstructions are merged into the initial one to construct a complete model. Several practical experiments have been carried out to validate the accuracy of the method.

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Abdelaaziz, Mahdaoui, and Hassan Sbai El. "Simplification 3d Points Cloud Method Based On Importance Of 3d Points." International Journal of Scientific Research and Innovative Studies 1, no. 1 (2022): 23–35. https://doi.org/10.5281/zenodo.6877760.

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Representing the surface of complex objects, the samples resulting from their digitization can contain a very large number of points, endorsing simplification techniques, which analyse the relevance of the data. Simplification techniques also provide models with fewer points than the original ones. On the contrary the reconstruction of a surface, with simplified point cloud, must be close to the original. In this article, we develop a method of simplification reduce the number of scanned dense points, based on the density estimation and the notion of entropy. The performance of this approach i

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Xu, Li, Ling Bai, and Lei Li. "The Effect of 3D Image Virtual Reconstruction Based on Visual Communication." Wireless Communications and Mobile Computing 2022 (January 5, 2022): 1–8. http://dx.doi.org/10.1155/2022/6404493.

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Considering the problems of poor effect, long reconstruction time, large mean square error (MSE), low signal-to-noise ratio (SNR), and structural similarity index (SSIM) of traditional methods in three-dimensional (3D) image virtual reconstruction, the effect of 3D image virtual reconstruction based on visual communication is proposed. Using the distribution set of 3D image visual communication feature points, the feature point components of 3D image virtual reconstruction are obtained. By iterating the 3D image visual communication information, the features of 3D image virtual reconstruction

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Li, Xin, Xuan Zhou, and Sheng Xu. "Three Dimensional Tree Modeling Based on the Skeleton Path Optimization and Geometrical Shapes." International Journal of Interactive Multimedia and Artificial Intelligence In Press, In Press (2024): 1–9. http://dx.doi.org/10.9781/ijimai.2024.10.003.

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Nowadays, the 3D individual tree reconstruction has played a significant role in the phenotypic study of trees. This paper proposes a new automatic method for extracting skeletons of individual trees and reconstructing 3D models. Firstly, the Euclidean clustering is performed to obtain center points of candidate branch regions. Then, the initial skeletons of LiDAR point clouds are obtained by slicing clusters in three dimensions. Secondly, skeleton points are completed by the proposed branch tracking. Then, the radius of the branches is accurately estimated from the branches. Thirdly, optimal

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Wang, Ziyun, Eric A. Mitchell, Volkan Isler, and Daniel D. Lee. "Geodesic-HOF: 3D Reconstruction Without Cutting Corners." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 4 (2021): 2844–51. http://dx.doi.org/10.1609/aaai.v35i4.16390.

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Single-view 3D object reconstruction is a challenging fundamental problem in machine perception, largely due to the morphological diversity of objects in the natural world. In particular, high curvature regions are not always represented accurately by methods trained with common set-based loss functions such as Chamfer Distance, resulting in reconstructions short-circuiting the surface or "cutting corners." To address this issue, we propose an approach to 3D reconstruction that embeds points on the surface of an object into a higher-dimensional space that captures both the original 3D surface

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9

Parodi, P., and G. Piccioli. "3D shape reconstruction by using vanishing points." IEEE Transactions on Pattern Analysis and Machine Intelligence 18, no. 2 (1996): 211–17. http://dx.doi.org/10.1109/34.481545.

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10

Veinidis, Christos, Fotis Arnaoutoglou, and Dimitrios Syvridis. "3D Reconstruction of Fishes Using Coded Structured Light." Journal of Imaging 9, no. 9 (2023): 189. http://dx.doi.org/10.3390/jimaging9090189.

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3D reconstruction of fishes provides the capability of extracting geometric measurements, which are valuable in the field of Aquaculture. In this paper, a novel method for 3D reconstruction of fishes using the Coded Structured Light technique is presented. In this framework, a binary image, called pattern, consisting of white geometric shapes, namely symbols, on a black background is projected onto the surface of a number of fishes, which belong to different species. A camera captures the resulting images, and the various symbols in these images are decoded to uniquely identify them on the pat

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Wang, Dejiang, and Huazhen Shu. "Accuracy Analysis of Three-Dimensional Modeling of a Multi-Level UAV without Control Points." Buildings 12, no. 5 (2022): 592. http://dx.doi.org/10.3390/buildings12050592.

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Unmanned Aerial Vehicle (UAV) oblique photography technology has been applied more and more widely for the 3D reconstruction of real-scene models due to its high efficiency and low cost. However, there are many kinds of UAVs with different positioning methods, camera models, and resolutions. To evaluate the performance levels of different types of UAVs in terms of their application to 3D reconstruction, this study took a primary school as the research area and obtained image information through oblique photography of four UAVs of different levels at different flight altitudes. We then conducte

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DA SILVA, Isaac Newton Lima, Éder FERNANDES, and Henrique GONZAGA. "INTERACTIVE 3D RECONSTRUCTION AND DLT CAMERA CALIBRATION: A MANUAL REGISTRATION APPROACH." SOUTHERN JOURNAL OF SCIENCES 32, no. 38 (2024): 1–10. https://doi.org/10.48141/2764-5959.01.v32.n38.2024_isaac_pgs_1_10.pdf.

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Background: This paper presents a straightforward and intuitive method for interactive 3D reconstruction and Direct Linear Transformation (DLT) camera calibration using a single image of a structured scene with known object dimensions. The method relies on manual registration of pairs of points on both the image and the terrain, allowing for precise alignment and calibration. Aim: By utilizing this method, users can easily reconstruct 3D scenes and calibrate cameras without the need for complex algorithms or extensive computational resources. Our approach offers a user-friendly solution for 3D

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LIMA, DA SILVA Isaac Newton, Éder FERNANDES, and Henrique GONZAGA. "INTERACTIVE 3D RECONSTRUCTION AND DLT CAMERA CALIBRATION: A MANUAL REGISTRATION APPROACH." SOUTHERN JOURNAL OF SCIENCES 32, no. 38 (2024): 1–10. https://doi.org/10.48141/2764-5959.01.v32.n38.2024_ISAAC_pgs_1_10.pdf.

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Background: This paper presents a straightforward and intuitive method for interactive 3D reconstruction and Direct Linear Transformation (DLT) camera calibration using a single image of a structured scene with known object dimensions. The method relies on manual registration of pairs of points on both the image and the terrain, allowing for precise alignment and calibration. Aim: By utilizing this method, users can easily reconstruct 3D scenes and calibrate cameras without the need for complex algorithms or extensive computational resources. Our approach offers a user-friendly solution for 3D

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14

Russ, John C. "Automatic vs computer-assisted 3D reconstruction." Proceedings, annual meeting, Electron Microscopy Society of America 50, no. 2 (1992): 1050–51. http://dx.doi.org/10.1017/s0424820100129887.

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Images from light or electron microscopy of serial sections must be aligned and corrected for distortion before use in three-dimensional reconstruction. As computer rendering supplants physical modelling, algorithms are desired for automatic alignment and rectification, requiring rotation and rubber-sheeting or warping. A new image can be constructed from each digitized original with polynomial equations relating the pixel coordinates in the new image to those in the original. Interpolation between the pixel values is used to prevent aliasing of edges. Calculating the equation coefficients req

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15

LIU, HANBO, XIN WANG, and WENYI QIANG. "A FAST METHOD FOR IMPLICIT SURFACE RECONSTRUCTION BASED ON RADIAL BASIS FUNCTIONS NETWORK FROM 3D SCATTERED POINTS." International Journal of Neural Systems 17, no. 06 (2007): 459–65. http://dx.doi.org/10.1142/s0129065707001299.

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A method for arbitrary surface reconstruction from 3D large scattered points is proposed in this paper. According to the properties of 3D points, e.g. the non-uniform distribution and unknown topology, an implicit surface model is adopted based on radial basis functions network. And because of the property of locality of radial basis function, the method is fast and robust in surface reconstruction. Furthermore, an adapted K-Means algorithm is used to reduce reconstruction centers. For features completeness, two effective methods are introduced to extract the feature points before the adapted

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Zhang, Qiming, Jinping Sun, Fei Teng, Yun Lin, and Wen Hong. "A Novel 3D Point Cloud Reconstruction Method for Single-Pass Circular SAR Based on Inverse Mapping with Target Contour Constraints." Remote Sensing 17, no. 7 (2025): 1275. https://doi.org/10.3390/rs17071275.

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Circular synthetic aperture radar (CSAR) is an advanced imaging mechanism with three-dimensional (3D) imaging capability, enabling the acquisition of omnidirectional scattering information for observation regions. The existing 3D point cloud reconstruction method for single-pass CSAR is capable of obtaining the 3D scattering points for targets by inversely mapping the projection points in multi-aspect sub-aperture images and subsequently voting on the scattering candidates. However, due to the influence of non-target background points in multi-aspect sub-aperture images, there are several fals

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17

Latief, Mohammad Adhitya. "THE ROLE OF 3D MODEL AS SURGICAL GUIDANCE IN MANDIBULAR RECONSTRUCTION SURGERY." Jurnal Ilmiah dan Teknologi Kedokteran Gigi 16, no. 2 (2021): 79–85. http://dx.doi.org/10.32509/jitekgi.v16i2.1079.

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reconstruction surgery is a challenging surgery that require well prepared presurgical plan to minimize the risk of failure, to accommodate the need for precision preoperative planning, surgeons frequently need guidance such as a3-dimensional (3D) model to display complex cranial structures. Evaluation of the 3D model as surgical guidance require a review measurement regarding its efficiency and pitfalls. Purpose: the purpose of this research is to understand the importants key points that will resulted succesfull reconstructive surgery using 3D model as surgical guidance. Method: the evaluati

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18

Wang, Wei, Fengjiao Gao, and Yongliang Shen. "Res-NeuS: Deep Residuals and Neural Implicit Surface Learning for Multi-View Reconstruction." Sensors 24, no. 3 (2024): 881. http://dx.doi.org/10.3390/s24030881.

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Surface reconstruction using neural networks has proven effective in reconstructing dense 3D surfaces through image-based neural rendering. Nevertheless, current methods are challenging when dealing with the intricate details of large-scale scenes. The high-fidelity reconstruction performance of neural rendering is constrained by the view sparsity and structural complexity of such scenes. In this paper, we present Res-NeuS, a method combining ResNet-50 and neural surface rendering for dense 3D reconstruction. Specifically, we present appearance embeddings: ResNet-50 is used to extract the appe

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19

Alrasheedi, Nashmi H., Aicha Ben Makhlouf, Borhen Louhichi, Mehdi Tlija, and Khalil Hajlaoui. "Customized Orthosis Design Based on Surface Reconstruction from 3D-Scanned Points." Prosthesis 6, no. 1 (2024): 93–106. http://dx.doi.org/10.3390/prosthesis6010008.

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Limb disability is a frequent healthcare problem, especially for patients in primary care. Orthotic treatment has become the most common practice for either rehabilitation or permanent assistance, due to the emergence of 3D scanning and 3D printing technologies. A CAD model rebuilt from captured data is a key step in the rapid prototyping process of customized orthoses. An accurate and robust surface reconstruction technique remains a research challenge, aiming for a well-fitting design and the patient’s comfort. Thus, this paper presents of a new 3D curve-based reconstruction algorithm to obt

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20

Xiong, Zi Ming, and Gang Wan. "An Approach to Automatic Great-Scene 3D Reconstruction Based on UAV Sequence Images." Applied Mechanics and Materials 229-231 (November 2012): 2294–97. http://dx.doi.org/10.4028/www.scientific.net/amm.229-231.2294.

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In this paper, we propose an approach to automatic great-scene 3D reconstruction based on UAV sequence images. In this method, Harris feature point and SIFT feature vector is used to distill image feature, achieving images match; quasi-perspective projection model and factorization is employed to calibrate the uncalibrated image sequences automatically; Efficient suboptimal solutions to the optimal triangulation is plied to obtain the coordinate of 3D points; quasi-dense diffusing algorithm is bestowed to make 3D point denseness; the algorithm of bundle adjustment is taken to improve the preci

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21

Chen, Huihong, and Shiming Li. "Simulation of 3D Image Reconstruction in Rigid body Motion." MATEC Web of Conferences 232 (2018): 02002. http://dx.doi.org/10.1051/matecconf/201823202002.

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3D image reconstruction under rigid body motion is affected by rigid body motion and visual displacement factors, which leads to low quality of 3D image reconstruction and more noise, in order to improve the quality of 3D image reconstruction of rigid body motion. A 3D image reconstruction technique is proposed based on corner detection and edge contour feature extraction in this paper. Region scanning and point scanning are combined to scan rigid body moving object image. The wavelet denoising method is used to reduce the noise of the 3D image. The edge contour feature of the image is extract

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Yan, J., N. Grasso, S. Zlatanova, R. C. Braggaar, and D. B. Marx. "CHALLENGES IN FLYING QUADROTOR UNMANNED AERIAL VEHICLE FOR 3D INDOOR RECONSTRUCTION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W7 (September 12, 2017): 423–30. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w7-423-2017.

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Three-dimensional modelling plays a vital role in indoor 3D tracking, navigation, guidance and emergency evacuation. Reconstruction of indoor 3D models is still problematic, in part, because indoor spaces provide challenges less-documented than their outdoor counterparts. Challenges include obstacles curtailing image and point cloud capture, restricted accessibility and a wide array of indoor objects, each with unique semantics. Reconstruction of indoor environments can be achieved through a photogrammetric approach, e.g. by using image frames, aligned using recurring corresponding image point

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Ikryannikov, Egor O. "Three-dimensional reconstruction of the pelvic bones on MRI scans." Digital Diagnostics 4, no. 1S (2023): 60–61. http://dx.doi.org/10.17816/dd430345.

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BACKGROUND: Pelvimetry is an important part of the obstetric examination for predicting a mismatch between the size of the fetus and the mothers pelvis, which leads to difficulty or impossibility of vaginal delivery. Contracted pelvis is one of the main causes of maternal birth trauma and perinatal morbidity and mortality. AIM: To create a computer vision model for automatic segmentation and three-dimensional (3D) reconstruction of the pelvic bones. METHODS: A 3D U-Net-based neural network was used and trained on T2 weighted images in frontal projection (repetition time, 7500; echo

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Petrovska, I., M. Jäger, D. Haitz, and B. Jutzi. "GEOMETRIC ACCURACY ANALYSIS BETWEEN NEURAL RADIANCE FIELDS (NERFS) AND TERRESTRIAL LASER SCANNING (TLS)." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W3-2023 (October 19, 2023): 153–59. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-w3-2023-153-2023.

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Abstract. Neural Radiance Fields (NeRFs) use a set of camera poses with associated images to represent a scene through a position-dependent density and radiance at given spatial location. Generating a geometric representation in form of a point cloud is gained by ray tracing and sampling 3D points with density and color along the rays. In this contribution we evaluate object reconstruction by NeRFs in 3D metric space against Terrestrial Laser Scanning (TLS) using ground truth data in form of a Structured Light Imaging (SLI) mesh and investigate the influence of the density to the reconstructio

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Chen, Wenbo, and Ligang Liu. "Deblur-GS: 3D Gaussian Splatting from Camera Motion Blurred Images." Proceedings of the ACM on Computer Graphics and Interactive Techniques 7, no. 1 (2024): 1–15. http://dx.doi.org/10.1145/3651301.

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Novel view synthesis has undergone a revolution thanks to the radiance field method. The introduction of 3D Gaussian splatting (3DGS) has successfully addressed the issues of prolonged training times and slow rendering speeds associated with the Neural Radiance Field (NeRF), all while preserving the quality of reconstructions. However, 3DGS remains heavily reliant on the quality of input images and their initial camera pose initialization. In cases where input images are blurred, the reconstruction results suffer from blurriness and artifacts. In this paper, we propose the Deblur-GS method for

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HILD, MICHAEL, and KAZUYUKI NISHIJIMA. "RECONSTRUCTION OF 3D SPACE STRUCTURE WITH A ROTATIONAL IMAGING SYSTEM." International Journal of Image and Graphics 02, no. 02 (2002): 269–85. http://dx.doi.org/10.1142/s0219467802000615.

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We examine whether the accuracy of 3D space point reconstruction from image pairs can be improved by using rotational imaging. A single camera acquires image pairs at two positions that are separated by a rotation and extracts feature points from both images. Matches of feature point pairs from both images are computed, and then the 3D space coordinates are reconstructed based on the disparity of the matched points. The system carries out optimal rotations to obtain low-error reconstructions, using a specially designed control algorithm. The camera can be rotated 360 degrees around a vertical

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Hanry, Ham, Wesley Julian, and Hendra. "Computer vision based 3D reconstruction : A review." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 4 (2019): 2394–402. https://doi.org/10.11591/ijece.v9i4.pp2394-2402.

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3D reconstruction are used in many fields starts from the object reconstruction such as site, cultural artifacts in both ground and under the sea levels, medical imaging data, nuclear substantional. The scientist are beneficial for these task in order to learn, keep and better visual enhancement into 3D data. In this paper we differentiate the algorithm used depends on the input image: single still image, RGB-Depth image, multiperspective of 2D images, and video sequences. The prior works also explained how the 3D reconstruction perform in many fields and using various algorithms.

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Gao, Yuan. "Parametric indoor 3D reconstruction based on binary image feature point extraction." Journal of Physics: Conference Series 2863, no. 1 (2024): 012002. http://dx.doi.org/10.1088/1742-6596/2863/1/012002.

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Abstract In recent years, with the rapid advancement of laser scanning technology, indoor 3D modeling technology has significantly developed, becoming a research hotspot in the field of 3D reconstruction. Addressing the issues of high complexity in decoding point cloud surfaces in traditional indoor reconstruction, this paper proposes an indoor 3D reconstruction method based on binary image feature point extraction. The method utilizes point cloud data for semantic segmentation of the indoor environment to accurately extract the ceiling area, which is then projected onto the XOY plane and conv

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Li, Na, Jiquan Yang, Aiqing Guo, Yijian Liu, and Hai Liu. "Triangulation Reconstruction for 3D Surface Based on Information Model." Cybernetics and Information Technologies 16, no. 5 (2016): 27–33. http://dx.doi.org/10.1515/cait-2016-0049.

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Abstract The aim of this paper is to address the surface reconstruction from point cloud in reverser engineering. The data was acquired through a 3D scan device and was processed as point cloud data. The points in cloud were connected to build 3D surface. The points cloud was processed in four steps to get 3D information surface. First, the subtraction scheme was used to get cover boxes ended with the set of convex was found under the convergence rule. Secondly, the points in the box were projected to the directions which were close to the normal direction method. Thirdly the overlap was avoid

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Han, Jing, Yankun Cao, Lina Xu, et al. "3D Reconstruction Method based on Medical Image Feature Point Matching." Computational and Mathematical Methods in Medicine 2022 (August 12, 2022): 1–11. http://dx.doi.org/10.1155/2022/9052751.

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Medical 3D image reconstruction is an important image processing step in medical image analysis. How to speed up the speed while improving the accuracy in 3D reconstruction is an important issue. To solve this problem, this paper proposes a 3D reconstruction method based on image feature point matching. By improving SIFT, the initial matching of feature points is realized by using the neighborhood voting method, and then the initial matching points are optimized by the improved RANSAC algorithm, and a new SFM reconstruction method is obtained. The experimental results show that the feature mat

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Zhang, Chun. "Artificial Intelligence Technology for Interactive Mobile Devices and Its Application in 3D Visual Design." International Journal of Interactive Mobile Technologies (iJIM) 18, no. 12 (2024): 30–41. http://dx.doi.org/10.3991/ijim.v18i12.49069.

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The use of visual rationality in planning and designing indoor 3D spaces can effectively enhance the quality of environmental art design. For the rational planning and design of 3D spaces, it is essential to assign attribute values to the rational evaluation index of 3D space planning, determine the weight vector of rational evaluation factors for indoor 3D space planning, and accomplish the visual rationality planning and design of indoor 3D spaces. 3D reconstruction is one of the primary objectives and focal points of machine vision research. The principle is to extract 3D information from t

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Wang, Xiao Hui. "Virtual Simulation of Aerobics Movement Based on Vision." Advanced Materials Research 989-994 (July 2014): 1997–2000. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.1997.

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In aerobics, the motion state randomness of key feature points is great, so it is difficult to establish an accurate dynamic model for sports' shape base. Traditional 3D reconstruction algorithms use fixes shape base which hardly expresses the change parameters of complex movement and motion law of large-scale dynamic features, thereby leading to non-realistic reconstruction results. The paper proposes a new reconstruction algorithm for aerobics 3D motion images that corrects the neighborhood system of feature points by motion parameters until the parameter is stable to ensure accuracy and the

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Apollonio, F. I., A. Ballabeni, M. Gaiani, and F. Remondino. "Evaluation of feature-based methods for automated network orientation." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-5 (June 5, 2014): 47–54. http://dx.doi.org/10.5194/isprsarchives-xl-5-47-2014.

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Every day new tools and algorithms for automated image processing and 3D reconstruction purposes become available, giving the possibility to process large networks of unoriented and markerless images, delivering sparse 3D point clouds at reasonable processing time. In this paper we evaluate some feature-based methods used to automatically extract the tie points necessary for calibration and orientation procedures, in order to better understand their performances for 3D reconstruction purposes. The performed tests &ndash; based on the analysis of the SIFT algorithm and its most used variant

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Liu, Xiaoyang. "Research on 3D Object Reconstruction Method based on Deep Learning." Highlights in Science, Engineering and Technology 39 (April 1, 2023): 1221–27. http://dx.doi.org/10.54097/hset.v39i.6732.

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3D reconstruction is a classic task in the field of computer graphics. More and more researchers try to replicate the success of deep learning in 2D image processing tasks to 3D reconstruction tasks, so 3D reconstruction related research based on deep learning has gradually become a research hotspot. Compared with the traditional 3D reconstruction methods that require precision acquisition equipment and strict calibration of image information, the 3D reconstruction method based on deep learning completes the matching of 2D images to 3D models through deep neural networks, and can reconstruct 3

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Zhang, Tian, Jian Hua Liu, Cheng Tong Tang, and Shao Li Liu. "3D Reconstruction Method of Bent Tube with NURBS Curve." Applied Mechanics and Materials 300-301 (February 2013): 112–18. http://dx.doi.org/10.4028/www.scientific.net/amm.300-301.112.

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To solve the difficulty and low efficiency of three-dimensional reconstruction of complex spatial form bent tube, a stereo vision method with NURBS curve to achieve three-dimensional reconstruction of bent tube is presented. This method first extracts central axis and the edge line of bent tube by the grayscale image, and the outer diameter of bent tube is calculated through the edge line extracted. On the premise of affine camera model, NURBS curve has been chosen as the primitive of reconstruction, and by using its affine invariance, according to the principle of binocular vision, the centra

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Niu, Xiaomei. "Interactive 3D reconstruction method of fuzzy static images in social media." Journal of Intelligent Systems 31, no. 1 (2022): 806–16. http://dx.doi.org/10.1515/jisys-2022-0049.

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Abstract Because the traditional social media fuzzy static image interactive three-dimensional (3D) reconstruction method has the problem of poor reconstruction completeness and long reconstruction time, the social media fuzzy static image interactive 3D reconstruction method is proposed. For preprocessing the fuzzy static image of social media, the Harris corner detection method is used to extract the feature points of the preprocessed fuzzy static image of social media. According to the extraction results, the parameter estimation algorithm of contrast divergence is used to learn the restric

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He, Wei. "Research on Outdoor Garden Scene Reconstruction Based on PMVS Algorithm." Scientific Programming 2021 (November 24, 2021): 1–10. http://dx.doi.org/10.1155/2021/4491382.

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The three-dimensional reconstruction of outdoor landscape is of great significance for the construction of digital city. With the rapid development of big data and Internet of things technology, when using the traditional image-based 3D reconstruction method to restore the 3D information of objects in the image, there will be a large number of redundant points in the point cloud and the density of the point cloud is insufficient. Based on the analysis of the existing three-dimensional reconstruction technology, combined with the characteristics of outdoor garden scene, this paper gives the det

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Xiao, Longdong, Chong Li, Yue Cai, et al. "Preliminary Application of Ground-Penetrating Radar for Reconstruction of Root System Architecture in Moso Bamboo." Remote Sensing 13, no. 14 (2021): 2816. http://dx.doi.org/10.3390/rs13142816.

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Root system architecture (RSA) refers to the geometric features and topology of the root system. Ground-penetrating radar (GPR) is a possible method of RSA reconstruction. However, because the topology of the root system is not directly accessible by GPR, GPR-based reconstruction must be complemented by manual connection of root points, resulting in limited accuracy. In this study, we used both GPR and direct excavation to obtain 3D coordinates (XYZ coordinates) and diameters of moso bamboo rhizomes on an orthogonal grid. A score function for selecting the best-connected root points was develo

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Li, Tianping, Hongxin Xu, Hua Zhang, and Honglin Wan. "Detail 3D Face Reconstruction Based on 3DMM and Displacement Map." Journal of Sensors 2021 (June 25, 2021): 1–13. http://dx.doi.org/10.1155/2021/9921101.

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How to accurately reconstruct the 3D model human face is a challenge issue in the computer vision. Due to the complexity of face reconstruction and diversity of face features, most existing methods are aimed at reconstructing a smooth face model with ignoring face details. In this paper a novel deep learning-based face reconstruction method is proposed. It contains two modules: initial face reconstruction and face details synthesis. In the initial face reconstruction module, a neural network is used to detect the facial feature points and the angle of the pose face, and 3D Morphable Model (3DM

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XIAO, YIJUN, MINGYUE DING, and JIAXIONG PENG. "B-SPLINE BASED STEREO FOR 3D RECONSTRUCTION OF LINE-LIKE OBJECTS USING AFFINE CAMERA MODEL." International Journal of Pattern Recognition and Artificial Intelligence 15, no. 02 (2001): 347–58. http://dx.doi.org/10.1142/s0218001401000915.

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This paper presents a novel curve based algorithm of stereo vision to reconstruct 3D line-like objects. B-spline approximations of 2D edge curves are selected as primitives for the reconstruction of their corresponding space curves so that, under the assumption of affine camera model, a 3D curve can be derived from reconstructing its control points according to the affine invariant property of B-Spline curves. The superiority of B-spline model in representing free-form curves gives good geometric properties of reconstruction results. Both theoretical analysis and experimental results demonstra

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Yang, Xuyuan, and Guang Jiang. "A Practical 3D Reconstruction Method for Weak Texture Scenes." Remote Sensing 13, no. 16 (2021): 3103. http://dx.doi.org/10.3390/rs13163103.

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In recent years, there has been a growing demand for 3D reconstructions of tunnel pits, underground pipe networks, and building interiors. For such scenarios, weak textures, repeated textures, or even no textures are common. To reconstruct these scenes, we propose covering the lighting sources with films of spark patterns to “add” textures to the scenes. We use a calibrated camera to take pictures from multiple views and then utilize structure from motion (SFM) and multi-view stereo (MVS) algorithms to carry out a high-precision 3D reconstruction. To improve the effectiveness of our reconstruc

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de Jesus, Kelly, Karla de Jesus, Pedro Figueiredo, João Paulo Vilas-Boas, Ricardo Jorge Fernandes, and Leandro José Machado. "Reconstruction Accuracy Assessment of Surface and Underwater 3D Motion Analysis: A New Approach." Computational and Mathematical Methods in Medicine 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/269264.

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This study assessed accuracy of surface and underwater 3D reconstruction of a calibration volume with and without homography. A calibration volume (6000 × 2000 × 2500 mm) with 236 markers (64 above and 88 underwater control points—with 8 common points at water surface—and 92 validation points) was positioned on a 25 m swimming pool and recorded with two surface and four underwater cameras. Planar homography estimation for each calibration plane was computed to perform image rectification. Direct linear transformation algorithm for 3D reconstruction was applied, using 1600000 different combinat

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Song, Jun. "A New Surface Reconstruction Algorithm for Noisy 3D Unorganized Points." Applied Mechanics and Materials 217-219 (November 2012): 1312–17. http://dx.doi.org/10.4028/www.scientific.net/amm.217-219.1312.

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This paper puts forward a new method of surface reconstruction. Power crust algorithm can reconstruct a good surface that is topological valid and be proved theoretically. But when the point cloud is noisy, the surface reconstructed is not good and its running time is long. This paper proposes a improved method of fuzzy c-means clustering to delete the noisy points and a non-uniformly sampling method to resample the input data set according to the local feature size before reconstruction. Experimental results show that the efficiency of the algorithm has been improved much more.

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Lei, Ziang. "A Poisson Equation-Based Method for 3D Reconstruction of Animated Images." Advances in Mathematical Physics 2021 (November 27, 2021): 1–11. http://dx.doi.org/10.1155/2021/1547630.

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3D reconstruction techniques for animated images and animation techniques for faces are important research in computer graphics-related fields. Traditional 3D reconstruction techniques for animated images mainly rely on expensive 3D scanning equipment and a lot of time-consuming postprocessing manually and require the scanned animated subject to remain in a fixed pose for a considerable period. In recent years, the development of large-scale computing power of computer-related hardware, especially distributed computing, has made it possible to come up with a real-time and efficient solution. I

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Yang, Zhi Yuan. "A Reconstruction Model for 3D Human Motion Based on Images Processing." Applied Mechanics and Materials 556-562 (May 2014): 5021–23. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.5021.

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Traditional 3D reconstruction algorithms use fixes shape base which hardly expresses the change parameters of complex movement and motion law of large-scale dynamic features, thereby leading to non-realistic reconstruction results. The paper proposes a new reconstruction algorithm for 3D motion images that corrects the neighborhood system of feature points by motion parameters and reasons number base K to ensure accuracy. The simulation results show that, the proposed algorithm avoids drawbacks of sports reconstruction results caused by the great randomness of motion state, thereby complete 3D

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Xu, Yanan, Yohwan So, and Sanghyuk Woo. "Plane Fitting in 3D Reconstruction to Preserve Smooth Homogeneous Surfaces." Sensors 22, no. 23 (2022): 9391. http://dx.doi.org/10.3390/s22239391.

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Photogrammetric techniques for weakly-textured surfaces without sufficient information about the R (red), G (green) and B (blue) primary colors of light are challenging. Considering that most urban or indoor object surfaces follow simple geometric shapes, a novel method for reconstructing smooth homogeneous planar surfaces based on MVS (Multi-View Stereo) is proposed. The idea behind it is to extract enough features for the image description, and to refine the dense points generated by the depth values of pixels with plane fitting, to favor the alignment of the surface to the detected planes.

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Yang, Zeyin. "3D Modeling of Sculpture Nano-Ceramics under Sparse Image Sequence." International Journal of Analytical Chemistry 2022 (July 7, 2022): 1–8. http://dx.doi.org/10.1155/2022/5710535.

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To improve the analysis ability of point cloud 3D reconstruction of sparse images of nano-ceramic sculpture points, an automatic cloud 3D reconstruction method of nano-ceramic sculpture points based on sparse image sequence is proposed. Firstly, 3D angle detection and edge contour feature extraction methods are used to analyze 3D point cloud features of nano-ceramic sculpture point save image; secondly, the point cloud of the fuel economy image of nano-ceramic sculpture points is merged and the sloping action method is used to shape degradation to realize the information increase and fusion fi

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Remmach, Hassnae, Raja Mouachi, Mohammed Sadgal, and Aziz El Fazziki. "Reg-PointNet++: A CNN Network Based on PointNet++ Architecture for 3D Reconstruction of 3D Objects Modeled by Supershapes." Journal of Image and Graphics 11, no. 4 (2023): 405–13. http://dx.doi.org/10.18178/joig.11.4.405-413.

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The use of 3D reconstruction in computer vision applications has opened up new avenues for research and development. It has a significant impact on a range of industries, from healthcare to robotics, by improving the performance and abilities of computer vision systems. In this paper we aim to improve 3D reconstruction quality and accuracy. The objective is to develop a model that can learn to extract features, estimate a Supershape parameters and reconstruct 3D directly from input points cloud. In this regard, we present a continuity of our latest works, using a CNN-based Multi-Output and Mul

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Zhong, Lijun, Junyou Qin, Xia Yang, et al. "An Accurate Linear Method for 3D Line Reconstruction for Binocular or Multiple View Stereo Vision." Sensors 21, no. 2 (2021): 658. http://dx.doi.org/10.3390/s21020658.

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For the problem of 3D line reconstruction in binocular or multiple view stereo vision, when there are no corresponding points on the line, the method called Direction-then-Point (DtP) can be used, and if there are two pairs of corresponding points on the line, the method called Two Points 3D coordinates (TPS) can be used. However, when there is only one pair of corresponding points on the line, can we get the better accuracy than DtP for 3D line reconstruction? In this paper, a linear and more accurate method called Point-then-Direction (PtD) is proposed. First, we used the intersection method

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Liu, Zhong Yan, Guo Quan Wang, and Dong Ping Wang. "A 3D Reconstruction Method Based on Binocular View Geometry." Applied Mechanics and Materials 33 (October 2010): 299–303. http://dx.doi.org/10.4028/www.scientific.net/amm.33.299.

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A method was proposed to gain three-dimensional (3D) reconstruction based on binocular view geometry. Images used to calibrate cameras and reconstruct car’s rearview mirror by image acquisition system, by calibration image, a camera's intrinsic and extrinsic parameters, projective and fundamental matrixes were drawn by Matlab7.1;the collected rearview mirror images is pretreated to draw refined laser, extracted feature points, find the very appropriate match points by epipolar geometry principle; according to the camera imaging model to calculate the coordinates of space points, display point

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