Добірка наукової літератури з теми "Points for 3D reconstruction"
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Статті в журналах з теми "Points for 3D reconstruction"
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.
Повний текст джерелаLiang, 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.
Повний текст джерелаChen, 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.
Повний текст джерелаXu, 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.
Повний текст джерелаParodi, 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.
Повний текст джерелаRuss, John C. "Automatic vs computer-assisted 3D reconstruction." Proceedings, annual meeting, Electron Microscopy Society of America 50, no. 2 (August 1992): 1050–51. http://dx.doi.org/10.1017/s0424820100129887.
Повний текст джерелаWang, Dejiang, and Huazhen Shu. "Accuracy Analysis of Three-Dimensional Modeling of a Multi-Level UAV without Control Points." Buildings 12, no. 5 (May 3, 2022): 592. http://dx.doi.org/10.3390/buildings12050592.
Повний текст джерелаBournez, E., T. Landes, M. Saudreau, P. Kastendeuch, and G. Najjar. "FROM TLS POINT CLOUDS TO 3D MODELS OF TREES: A COMPARISON OF EXISTING ALGORITHMS FOR 3D TREE RECONSTRUCTION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W3 (February 23, 2017): 113–20. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w3-113-2017.
Повний текст джерелаLIU, 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 (December 2007): 459–65. http://dx.doi.org/10.1142/s0129065707001299.
Повний текст джерелаHILD, MICHAEL, and KAZUYUKI NISHIJIMA. "RECONSTRUCTION OF 3D SPACE STRUCTURE WITH A ROTATIONAL IMAGING SYSTEM." International Journal of Image and Graphics 02, no. 02 (April 2002): 269–85. http://dx.doi.org/10.1142/s0219467802000615.
Повний текст джерелаДисертації з теми "Points for 3D reconstruction"
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.
Повний текст джерелаIncludes bibliographical references (leaves 59-62). Also available in electronic version. Access restricted to campus users.
Duguet, Florent. "Rendu et reconstruction de très gros nuages de points 3D." Nice, 2005. http://www.theses.fr/2005NICE4031.
Повний текст джерелаFayolle, Pierre-Alain. "Reconstruction 3D d'objets par une representation fonctionnelle." Phd thesis, Université d'Orléans, 2007. http://tel.archives-ouvertes.fr/tel-00476678.
Повний текст джерелаBartoli, Adrien. "Reconstruction et alignement en vision 3D : points, droites, plans et caméras." Phd thesis, Grenoble INPG, 2003. http://tel.archives-ouvertes.fr/tel-00004360.
Повний текст джерелаLiu, Kun. "Multi-View Oriented 3D Data Processing." Thesis, Université de Lorraine, 2015. http://www.theses.fr/2015LORR0273/document.
Повний текст джерелаPoint cloud refinement and surface reconstruction are two fundamental problems in geometry processing. Most of the existing methods have been targeted at range sensor data and turned out be ill-adapted to multi-view data. In this thesis, two novel methods are proposed respectively for the two problems with special attention to multi-view data. The first method smooths point clouds originating from multi-view reconstruction without impairing the data. The problem is formulated as a nonlinear constrained optimization and addressed as a series of unconstrained optimization problems by means of a barrier method. The second method triangulates point clouds into meshes using an advancing front strategy directed by a sphere packing criterion. The method is algorithmically simple and can produce high-quality meshes efficiently. The experiments on synthetic and real-world data have been conducted as well, which demonstrates the robustness and the efficiency of the methods. The developed methods are suitable for applications which require accurate and consistent position information such photogrammetry and tracking in computer vision
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.
Повний текст джерелаhence, determining the scene structure and cameras up to a projective transformation. The extension of the two-view reconstruction to multiple views is achieved by estimating the camera projection matrix of each additional view from the already reconstructed matches, and then adding new points to the scene structure by triangulating the unreconstructed matches. Finally, the reconstruction is upgraded from projective to metric by a rectifying homography computed from the camera calibration information. In order to obtain a refined reconstruction, two different methods are suggested for the removal of erroneous points from the scene structure. In addition to the examination of the solution to the reconstruction problem, experiments have been conducted that compare the performances of competing algorithms used in various stages of reconstruction. In connection with sparse reconstruction, a rate-distortion efficient piecewise planar scene representation algorithm that generates mesh models of scenes from reconstructed point clouds is examined, and its performance is evaluated through experiments.
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.
Повний текст джерелаGélard, William. "Modélisation 3D et suivi visuel pour caractériser le phénotype de variétés de tournesol." Thesis, Toulouse 3, 2018. http://www.theses.fr/2018TOU30207/document.
Повний текст джерелаThe constant increasing food and energy demand in the world associated to global warming and climate change issues, pushed the researchs in plant breeding to move towards the improvement of crops performance and development of a more sustainable agriculture. To meet these demands, the effort made by the researchers were focused on the development of high-throughput genotyping methods (i.e., the study of genome sequence of plants) and allowed the biologists to indentified the genotypes of a large amount of plants. Moreover, understanding the relationships that link the genotypes (DNA) to the phenotypes (visual characteristics) that evolve according environmental conditions like: light, water, drought, heat, etc. has become a main issue in agricultural research. While the genotyping methods were rapidly improved and automatized during the last decade, the phenotyping methods remain manual, sometimes destructive and non-replicable. The usual phenotyping methods consist to measure certain visual parameters of a plant such as: main stem heigh, number of leaves, leaf initiation angle or leaf area, but more importantly, be able to follow these parameters along the plant growth. Consequently, the number of plants to harvest is very important and the measurements are extremely time-consuming. The emergence and reliability of new technologies in computer vision and robotic have led the researchers to take an interest in them and to seek how they can be used in plant science. The thesis is focused on the design, development and validation of a high-throughput phenotyping method design for sunflower plant with an eye to amplify phenotyping capacities by Agronomists and Geneticists (and later varieties evaluators and seed producers). The aim is to improve, modernize and automatize the current phenotyping methods as a way to help the plant scientists to collect a large amount of data. Motivated by the wish to perform high-throughput plant phenotyping, we propose a 3D approach to automatically extract visual characteristics of sunflower plants grown in pot. First, a 3D point cloud of a plant is acquired with classical Structure-from-Motion techniques. A segmentation step is then proceeded to retrieve the main stem and the leaves. With the intention of following the visual characteristics during the plant growth, especially, the leaf area expansion rate of each leaf, a labelling step relying on the botanical model of a plant is performed to affect them a unique label that will not change over time. Finally, the visual characteristics are extracted and results obtained on sunflower plants demonstrate the efficiency of our method and make it an encouraging step toward high-throughput plant phenotyping
Calvet, Lilian. "Méthodes de reconstruction tridimensionnelle intégrant des points cycliques : application au suivi d’une caméra." Phd thesis, Toulouse, INPT, 2014. http://oatao.univ-toulouse.fr/11901/1/Calvet.pdf.
Повний текст джерелаLotfy, M. Y. "Stereoscopic image feature matching during endoscopic procedure." Thesis, Boston, USA, 2020. http://openarchive.nure.ua/handle/document/11836.
Повний текст джерелаКниги з теми "Points for 3D reconstruction"
Uray, Peter. From 3D point clouds to surfaces and volumes: Dissertation. Wien: Oldenbourg, 1997.
Знайти повний текст джерелаGolyanik, Vladislav. Robust Methods for Dense Monocular Non-Rigid 3D Reconstruction and Alignment of Point Clouds. Wiesbaden: Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-30567-3.
Повний текст джерелаBellocchio, Francesco, N. Alberto Borghese, Stefano Ferrari, and Vincenzo Piuri. 3D Surface Reconstruction. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5632-2.
Повний текст джерелаAbdelguerfi, Mahdi. 3D Synthetic Environment Reconstruction. Boston, MA: Springer US, 2001.
Знайти повний текст джерелаAbdelguerfi, Mahdi, ed. 3D Synthetic Environment Reconstruction. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4419-8756-3.
Повний текст джерелаDurou, Jean-Denis, Maurizio Falcone, Yvain Quéau, and Silvia Tozza, eds. Advances in Photometric 3D-Reconstruction. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51866-0.
Повний текст джерелаPainer, Sven. Variation Based Dense 3D Reconstruction. Wiesbaden: Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-12698-8.
Повний текст джерелаWeinmann, Martin. Reconstruction and Analysis of 3D Scenes. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29246-5.
Повний текст джерелаNitschke, Christian. 3D reconstruction: Real-time volumetric scene reconstruction from multiple views. Saarbrücken: VDM, Verlag Dr. Müller, 2007.
Знайти повний текст джерелаSalzmann, Mathieu. Deformable surface 3D reconstruction from monocular images. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool, 2011.
Знайти повний текст джерелаЧастини книг з теми "Points for 3D reconstruction"
Perwass, Christian B. U., and Joan Lasenby. "3D-Reconstruction from Vanishing Points." In Geometric Computing with Clifford Algebras, 371–92. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04621-0_15.
Повний текст джерелаRaposo, Carolina, and Joao P. Barreto. "Accurate Reconstruction of Oriented 3D Points Using Affine Correspondences." In Computer Vision – ECCV 2020, 545–60. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58604-1_33.
Повний текст джерелаWeinmann, Martin. "Point Cloud Registration." In Reconstruction and Analysis of 3D Scenes, 55–110. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29246-5_4.
Повний текст джерелаWeinmann, Martin. "Preliminaries of 3D Point Cloud Processing." In Reconstruction and Analysis of 3D Scenes, 17–38. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29246-5_2.
Повний текст джерелаWeinmann, Martin. "Co-Registration of 2D Imagery and 3D Point Cloud Data." In Reconstruction and Analysis of 3D Scenes, 111–40. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29246-5_5.
Повний текст джерелаPang, 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, 453–61. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21963-9_42.
Повний текст джерелаSalzmann, Mathieu, and Raquel Urtasun. "Beyond Feature Points: Structured Prediction for Monocular Non-rigid 3D Reconstruction." In Computer Vision – ECCV 2012, 245–59. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33765-9_18.
Повний текст джерелаBevilacqua, Vitoantonio, Gianpaolo Francesco Trotta, Antonio Brunetti, Giuseppe Buonamassa, Martino Bruni, Giancarlo Delfine, Marco Riezzo, et al. "Photogrammetric Meshes and 3D Points Cloud Reconstruction: A Genetic Algorithm Optimization Procedure." In Advances in Artificial Life, Evolutionary Computation, and Systems Chemistry, 65–76. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57711-1_6.
Повний текст джерелаBevilacqua, Vitoantonio, Fabio Ivona, Domenico Cafarchia, and Francescomaria Marino. "An Evolutionary Optimization Method for Parameter Search in 3D Points Cloud Reconstruction." In Intelligent Computing Theories, 601–11. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39479-9_70.
Повний текст джерелаMaghari, Ashraf Y. A., Iman Yi Liao, and Bahari Belaton. "Effect of Facial Feature Points Selection on 3D Face Shape Reconstruction Using Regularization." In Neural Information Processing, 516–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34500-5_61.
Повний текст джерелаТези доповідей конференцій з теми "Points for 3D reconstruction"
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.
Повний текст джерелаOrghidan, 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.
Повний текст джерелаChrysostomou, 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.
Повний текст джерелаYan, 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.
Повний текст джерелаPeng, 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.
Повний текст джерелаKarami, 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.
Повний текст джерелаTong-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.
Повний текст джерелаStancik, 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.
Повний текст джерелаWang, Yi, and Geng Wang. "3D Feature Points Reconstruction Based on Stereo Vision of UAV." In 2010 2nd International Conference on Information Engineering and Computer Science (ICIECS). IEEE, 2010. http://dx.doi.org/10.1109/iciecs.2010.5677735.
Повний текст джерелаWang, Yuanbin, Bin Zhang, and Fenghua Hou. "Projective reconstruction of seven 3D points from two uncalibrated images." In 2010 2nd International Conference on Future Computer and Communication. IEEE, 2010. http://dx.doi.org/10.1109/icfcc.2010.5497705.
Повний текст джерелаЗвіти організацій з теми "Points for 3D reconstruction"
Lyckegaard, A., A. Alpers, W. Ludwig, R. W. Fonda, L. Margulies, A. Goetz, H. O. Soerensen, S. R. Dey, H. F. Poulsen, and E. M. Lauridsen. 3D Grain Reconstruction from Boxscan Data. Fort Belvoir, VA: Defense Technical Information Center, January 2010. http://dx.doi.org/10.21236/ada530190.
Повний текст джерелаWeiss, Isaac. 3D Curve Reconstruction From Uncalibrated Cameras. Fort Belvoir, VA: Defense Technical Information Center, January 1996. http://dx.doi.org/10.21236/ada306610.
Повний текст джерелаDefrise, Michel, and Grant T. Gullberg. 3D reconstruction of tensors and vectors. Office of Scientific and Technical Information (OSTI), February 2005. http://dx.doi.org/10.2172/838184.
Повний текст джерелаKRUHL, 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, June 2010. http://dx.doi.org/10.5242/cogeo.2010.0009.
Повний текст джерелаKRUHL, 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, June 2010. http://dx.doi.org/10.5242/cogeo.2010.0009.a01.
Повний текст джерелаRosales, Romer, Vassilis Athitsos, Leonid Sigal, and Stan Sclaroff. 3D Hand Pose Reconstruction Using Specialized Mappings. Fort Belvoir, VA: Defense Technical Information Center, April 2001. http://dx.doi.org/10.21236/ada451286.
Повний текст джерелаBlankenbecler, Richard. 3D Image Reconstruction: Determination of Pattern Orientation. Office of Scientific and Technical Information (OSTI), March 2003. http://dx.doi.org/10.2172/812988.
Повний текст джерелаMiller, 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), January 2017. http://dx.doi.org/10.2172/1483618.
Повний текст джерелаVuong, Mai Phuong, Helmut Schaeben, and Florian Bachmann. Topological grain boundary reconstruction from 3D EBSD data. Cogeo@oeaw-giscience, September 2011. http://dx.doi.org/10.5242/iamg.2011.0239.
Повний текст джерелаMicroBooNE. Demonstration of 3D Shower Reconstruction on MicroBooNE Data. Office of Scientific and Technical Information (OSTI), July 2016. http://dx.doi.org/10.2172/1573045.
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