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Relevant bibliographies by topics / Points for 3D reconstruction

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Academic literature on the topic 'Points for 3D reconstruction'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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

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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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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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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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Dissertations / Theses on the topic "Points for 3D reconstruction"

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Duguet, Florent. "Rendu et reconstruction de très gros nuages de points 3D." Nice, 2005. http://www.theses.fr/2005NICE4031.

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Tsang, Kin Ting. "Interactive 3D model reconstruction from images and quasi-dense points /." View abstract or full-text, 2004. http://library.ust.hk/cgi/db/thesis.pl?COMP%202004%20TSANG.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2004.<br>Includes bibliographical references (leaves 59-62). Also available in electronic version. Access restricted to campus users.

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Basselin, Justine. "Reconnaissance de bâtiments à partir de nuages de points 3D." Electronic Thesis or Diss., Université de Lorraine, 2022. http://www.theses.fr/2022LORR0241.

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La numérisation d'objets réels est de plus en plus utilisée dans des domaines tels que l'urbanisme, l'architecture, la gestion des catastrophes et la sécurité intérieure. Des outils d'acquisition tels que les scanners aériens de détection et de télémétrie par la lumière (LiDAR) permettent de produire des représentations numériques de villes entières sous la forme de nuages de points 3D échantillonnant les surfaces des objets dans l'environnement. Malgré le haut degré de maturité atteint par les techniques de numérisation, les solutions informatiques efficaces pour le prétraitement et la recons

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Fayolle, Pierre-Alain. "Reconstruction 3D d'objets par une representation fonctionnelle." Phd thesis, Université d'Orléans, 2007. http://tel.archives-ouvertes.fr/tel-00476678.

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Nous nous sommes essentiellement intéressés à la modélisation d'objets volumétriques par des champs de distance scalaire. La distance Euclidienne d'un point a un ensemble de points représentant la frontière d'un solide, correspond à la plus petite distance (déﬁnie à partir de la norme Euclidienne) entre ce point et n'importe quel point de l'ensemble. La représentation du solide par la distance à la surface du solide est une méthode concise mais relativement puissante pour déﬁnir et manipuler des solides. Dans ce cadre, nous nous sommes intéressés à la modélisation constructive de solides, et à

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Bartoli, Adrien. "Reconstruction et alignement en vision 3D : points, droites, plans et caméras." Phd thesis, Grenoble INPG, 2003. http://tel.archives-ouvertes.fr/tel-00004360.

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Cette thèse concerne la reconstruction de modèles 3D de scènes à partir d'images prises par des caméras. Il est courant de reconstruire à partir de sous-ensembles d'images puis de fusionner les modèles partiels ainsi obtenus par une phase d'alignement 3D. Les algorithmes de reconstruction et d'alignement s'appuient sur des correspondances de points ou de droites entre les images. La localisation de ces points ou droites dans les images est affectée par un bruit de mesure, influençant la qualité des modèles 3D reconstruits. Cette thèse est centrée sur l'obtention de résultats optimaux et sur le

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Liu, Kun. "Multi-View Oriented 3D Data Processing." Thesis, Université de Lorraine, 2015. http://www.theses.fr/2015LORR0273/document.

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Le raffinement de nuage de points et la reconstruction de surface sont deux problèmes fondamentaux dans le traitement de la géométrie. La plupart des méthodes existantes ont été ciblées sur les données de capteur de distance et se sont avérées être mal adaptées aux données multi-vues. Dans cette thèse, deux nouvelles méthodes sont proposées respectivement pour les deux problèmes avec une attention particulière aux données multi-vues. La première méthode permet de lisser les nuages de points provenant de la reconstruction multi-vue sans endommager les données. Le problème est formulé comme une

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Vural, Elif. "Robust Extraction Of Sparse 3d Points From Image Sequences." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609888/index.pdf.

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In this thesis, the extraction of sparse 3D points from calibrated image sequences is studied. The presented method for sparse 3D reconstruction is examined in two steps, where the first part addresses the problem of two-view reconstruction, and the second part is the extension of the two-view reconstruction algorithm to include multiple views. The examined two-view reconstruction method consists of some basic building blocks, such as feature detection and matching, epipolar geometry estimation, and the reconstruction of cameras and scene structure. Feature detection and matching is achieved b

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Boudjemaï, Farid. "Reconstruction de surfaces d'objets 3D à partir de nuages de points par réseaux de neurones 3D-SOM." Lille 1, 2006. https://ori-nuxeo.univ-lille1.fr/nuxeo/site/esupversions/bcedde4b-f138-4193-8cec-20a49de14358.

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Les travaux menés dans le cadre de cette thèse ont pour principal objectif de développer une architecture neuronale auto-adaptative et non supervisée dévolue à la reconstruction d'ohjets 3D. L'espace d'entrée du réseau de neurones est constitué du nuage de points 3D non-organisés acquis à la surface de l'objet à reconstruire. Nos travaux se sont orientés vers le développement d'une nouvelle architecture neuronale inspirée des cartes auto-organisatrices de Kohonen que nous avons appelée 3D-SOM. Après apprentissage du nuage de points par le réseau, l'architecture du réseau se présente sous la fo

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Gélard, William. "Modélisation 3D et suivi visuel pour caractériser le phénotype de variétés de tournesol." Thesis, Toulouse 3, 2018. http://www.theses.fr/2018TOU30207/document.

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L'augmentation constante de la demande alimentaire et énergétique dans le monde associée au réchauffement et changements climatiques ont poussé les recherches en agronomie vers le développement d'une agriculture plus durable et l'amélioration de la performance des cultures. Pour répondre à ces demandes, les chercheurs ont concentré leurs efforts sur le développement de méthodes de génotypage à haut débit (l'étude de la séquence génomique des plantes) et ont permis aux biologistes d'identifier les génotypes d'une grande quantité de plantes. De plus, comprendre les relations qui lient les génoty

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Liu, Kun. "Multi-View Oriented 3D Data Processing." Electronic Thesis or Diss., Université de Lorraine, 2015. http://www.theses.fr/2015LORR0273.

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Le raffinement de nuage de points et la reconstruction de surface sont deux problèmes fondamentaux dans le traitement de la géométrie. La plupart des méthodes existantes ont été ciblées sur les données de capteur de distance et se sont avérées être mal adaptées aux données multi-vues. Dans cette thèse, deux nouvelles méthodes sont proposées respectivement pour les deux problèmes avec une attention particulière aux données multi-vues. La première méthode permet de lisser les nuages de points provenant de la reconstruction multi-vue sans endommager les données. Le problème est formulé comme une

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Books on the topic "Points for 3D reconstruction"

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Zhang, Guoxiang, and YangQuan Chen. Towards Optimal Point Cloud Processing for 3D Reconstruction. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96110-7.

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Uray, Peter. From 3D point clouds to surfaces and volumes: Dissertation. Oldenbourg, 1997.

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Golyanik, Vladislav. Robust Methods for Dense Monocular Non-Rigid 3D Reconstruction and Alignment of Point Clouds. Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-30567-3.

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Bellocchio, Francesco, N. Alberto Borghese, Stefano Ferrari, and Vincenzo Piuri. 3D Surface Reconstruction. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5632-2.

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Abdelguerfi, Mahdi, ed. 3D Synthetic Environment Reconstruction. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4419-8756-3.

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Abdelguerfi, Mahdi. 3D Synthetic Environment Reconstruction. Springer US, 2001.

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International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, (2nd : 1993 : Snowbird, Utah), ed. Fully 3D image reconstruction. IOP Publishing, 1994.

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Mahdi, Abdelguerfi, ed. 3D synthetic environment reconstruction. Kluwer Academic Publishers, 2001.

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Durou, Jean-Denis, Maurizio Falcone, Yvain Quéau, and Silvia Tozza, eds. Advances in Photometric 3D-Reconstruction. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51866-0.

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Painer, Sven. Variation Based Dense 3D Reconstruction. Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-12698-8.

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Book chapters on the topic "Points for 3D reconstruction"

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Perwass, Christian B. U., and Joan Lasenby. "3D-Reconstruction from Vanishing Points." In Geometric Computing with Clifford Algebras. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04621-0_15.

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Yang, Bisheng, Zhen Dong, Fuxun Liang, and Xiaoxin Mi. "3D Building Reconstruction." In Ubiquitous Point Cloud. CRC Press, 2024. http://dx.doi.org/10.1201/9781003486060-14.

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Yang, Bisheng, Zhen Dong, Fuxun Liang, and Xiaoxin Mi. "3D Road Reconstruction." In Ubiquitous Point Cloud. CRC Press, 2024. http://dx.doi.org/10.1201/9781003486060-15.

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Raposo, Carolina, and Joao P. Barreto. "Accurate Reconstruction of Oriented 3D Points Using Affine Correspondences." In Computer Vision – ECCV 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58604-1_33.

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Weinmann, Martin. "Point Cloud Registration." In Reconstruction and Analysis of 3D Scenes. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29246-5_4.

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Weinmann, Martin. "Preliminaries of 3D Point Cloud Processing." In Reconstruction and Analysis of 3D Scenes. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29246-5_2.

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Cao, Feng, Pengtao Ying, Jianxu Zhong, and Jishuang Han. "Research on Point Cloud Reconstruction of Pumping and Storage Construction Site Under Ground 3D Laser Scanning Technology." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-6238-5_38.

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AbstractThe current point cloud reconstruction matrix of the pumping and storage construction site is generally set to be unidirectional, and the efficiency of point cloud reconstruction is low, which leads to the prolongation of point cloud reconstruction time. Therefore, the design and verification of point cloud reconstruction method for pumping and storage construction site underground 3D laser scanning technology are proposed. According to the actual point cloud reconstruction requirements and standards, the 3D point cloud primitive library is constructed first, and the multi-step method

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Weinmann, Martin. "Co-Registration of 2D Imagery and 3D Point Cloud Data." In Reconstruction and Analysis of 3D Scenes. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29246-5_5.

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Salzmann, Mathieu, and Raquel Urtasun. "Beyond Feature Points: Structured Prediction for Monocular Non-rigid 3D Reconstruction." In Computer Vision – ECCV 2012. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33765-9_18.

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Pang, Yanwei, Kun Li, Jing Pan, Yuqing He, and Changshu Liu. "Interactive Head 3D Reconstruction Based Combine of Key Points and Voxel." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21963-9_42.

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Conference papers on the topic "Points for 3D reconstruction"

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Yi, Zhengxuan, Jianan Liang, Yongjun Cao, and Maohua Du. "3D Reconstruction of Point Cloud Based on Point-Move." In 2024 5th International Conference on Electronic Communication and Artificial Intelligence (ICECAI). IEEE, 2024. http://dx.doi.org/10.1109/icecai62591.2024.10674844.

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Engelmann, Francis, Konstantinos Rematas, Bastian Leibe, and Vittorio Ferrari. "From Points to Multi-Object 3D Reconstruction." In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2021. http://dx.doi.org/10.1109/cvpr46437.2021.00456.

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Orghidan, A. Radu, C. Mihaela Gordan, D. Aurel Vlaicu, and B. Joaquim Salvi. "Projector-camera calibration for 3D reconstruction using vanishing points." In 2012 International Conference on 3D Imaging (IC3D). IEEE, 2012. http://dx.doi.org/10.1109/ic3d.2012.6615143.

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Chrysostomou, Dimitrios, Nikolaos Kyriakoulis, and Antonios Gasteratos. "Multi-camera 3D scene reconstruction from vanishing points." In 2010 IEEE International Conference on Imaging Systems and Techniques (IST). IEEE, 2010. http://dx.doi.org/10.1109/ist.2010.5548495.

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Yan, Jing-qi, and Peng-Fei Shi. "Surface reconstruction for 3D objects from unorganized points." In Multispectral Image Processing and Pattern Recognition, edited by Yair Censor and Mingyue Ding. SPIE, 2001. http://dx.doi.org/10.1117/12.441594.

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Brodland, G. Wayne, and Jim H. Veldhuis. "Reconstruction of Embryo 3D Surface Geometry Using Multiple Macroscope Images." In ASME 1996 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/imece1996-1246.

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Abstract An algorithm for reconstructing the surface geometry of a developing embryo using macroscope images taken from at least two viewing angles is presented. A feature of the method is that it can correct for translational camera errors. To implement the method, point correspondences must be established between feature points that are visible in two or more views. If the embryo surface has sufficient optical texture, this can be done by computer using image processing techniques (Veldhuis and Brodland, 1996). A system of linear equations that determine the three-dimensional point locations

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Peng, Keju, Xin Chen, Dongxiang Zhou, and Yunhui Liu. "3D reconstruction based on SIFT and Harris feature points." In 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO). IEEE, 2009. http://dx.doi.org/10.1109/robio.2009.5420735.

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Tong-guang Ni and Zheng-hua Ma. "A fast surface reconstruction algorithm for 3D unorganized points." In 2010 2nd International Conference on Computer Engineering and Technology. IEEE, 2010. http://dx.doi.org/10.1109/iccet.2010.5485908.

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Karami, Mansoureh, Reza Afrouzian, Shohreh Kasaei, and Hadi Seyedarabi. "Multiview 3D reconstruction based on vanishing points and homography." In 2014 7th International Symposium on Telecommunications (IST). IEEE, 2014. http://dx.doi.org/10.1109/istel.2014.7000730.

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Stancik, Petr, and Vaclav Ricny. "Software for camera calibration and 3D points reconstruction in stereophotogrammetry." In IEEE EUROCON 2009 (EUROCON). IEEE, 2009. http://dx.doi.org/10.1109/eurcon.2009.5167784.

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Reports on the topic "Points for 3D reconstruction"

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Defrise, Michel, and Grant T. Gullberg. 3D reconstruction of tensors and vectors. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/838184.

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Lyckegaard, A., A. Alpers, W. Ludwig, et al. 3D Grain Reconstruction from Boxscan Data. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada530190.

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Weiss, Isaac. 3D Curve Reconstruction From Uncalibrated Cameras. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada306610.

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KRUHL, Jörn H., Robert MARSCHALLINGER, Kai-Uwe HESS, Asher FLAWS, and Richard ZEFACK KHEMAKA. 3D fabric recording by neutron tomography: benchmarking with destructive 3D reconstruction. Cogeo@oeaw-giscience, 2010. http://dx.doi.org/10.5242/cogeo.2010.0009.

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KRUHL, Jörn H., Robert MARSCHALLINGER, Kai-Uwe HESS, Asher FLAWS, and Richard ZEFACK KHEMAKA. 3D fabric recording by neutron tomography: benchmarking with destructive 3D reconstruction. Cogeo@oeaw-giscience, 2010. http://dx.doi.org/10.5242/cogeo.2010.0009.a01.

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Rosales, Romer, Vassilis Athitsos, Leonid Sigal, and Stan Sclaroff. 3D Hand Pose Reconstruction Using Specialized Mappings. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada451286.

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Blankenbecler, Richard. 3D Image Reconstruction: Determination of Pattern Orientation. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/812988.

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Miller, Brandon D., Dennis D. Keiser Jr., Assel Aitkaliyeva, Brandon J. Hernandez, Alexander J. Winston, and Dennis D. Keiser, Jr. 3D reconstruction of M11A2 from the SELENIUM Experiment. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1483618.

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Vuong, Mai Phuong, Helmut Schaeben, and Florian Bachmann. Topological grain boundary reconstruction from 3D EBSD data. Cogeo@oeaw-giscience, 2011. http://dx.doi.org/10.5242/iamg.2011.0239.

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MicroBooNE. Demonstration of 3D Shower Reconstruction on MicroBooNE Data. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1573045.

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