Auswahl der wissenschaftlichen Literatur zum Thema „Reconstruction 3D de la scene“
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Zeitschriftenartikel zum Thema "Reconstruction 3D de la scene"
Wen, Mingyun, und Kyungeun Cho. „Object-Aware 3D Scene Reconstruction from Single 2D Images of Indoor Scenes“. Mathematics 11, Nr. 2 (12.01.2023): 403. http://dx.doi.org/10.3390/math11020403.
Der volle Inhalt der QuelleGuo, Rui Bin, Tao Guan, Dong Xiang Zhou, Ke Ju Peng und Wei Hong Fan. „Efficient Multi-Scale Registration of 3D Reconstructions Based on Camera Center Constraint“. Advanced Materials Research 998-999 (Juli 2014): 1018–23. http://dx.doi.org/10.4028/www.scientific.net/amr.998-999.1018.
Der volle Inhalt der QuelleJang, Hyeonjoong, Andréas Meuleman, Dahyun Kang, Donggun Kim, Christian Richardt und Min H. Kim. „Egocentric scene reconstruction from an omnidirectional video“. ACM Transactions on Graphics 41, Nr. 4 (Juli 2022): 1–12. http://dx.doi.org/10.1145/3528223.3530074.
Der volle Inhalt der QuelleBuck, Ursula. „3D crime scene reconstruction“. Forensic Science International 304 (November 2019): 109901. http://dx.doi.org/10.1016/j.forsciint.2019.109901.
Der volle Inhalt der QuelleGao, Huanbing, Lei Liu, Ya Tian und Shouyin Lu. „3D Reconstruction for Road Scene with Obstacle Detection Feedback“. International Journal of Pattern Recognition and Artificial Intelligence 32, Nr. 12 (27.08.2018): 1855021. http://dx.doi.org/10.1142/s0218001418550212.
Der volle Inhalt der QuelleLiu, Yilin, Liqiang Lin, Yue Hu, Ke Xie, Chi-Wing Fu, Hao Zhang und Hui Huang. „Learning Reconstructability for Drone Aerial Path Planning“. ACM Transactions on Graphics 41, Nr. 6 (30.11.2022): 1–17. http://dx.doi.org/10.1145/3550454.3555433.
Der volle Inhalt der QuelleDong, Bo, Kaiqiang Chen, Zhirui Wang, Menglong Yan, Jiaojiao Gu und Xian Sun. „MM-NeRF: Large-Scale Scene Representation with Multi-Resolution Hash Grid and Multi-View Priors Features“. Electronics 13, Nr. 5 (22.02.2024): 844. http://dx.doi.org/10.3390/electronics13050844.
Der volle Inhalt der QuelleTingdahl, David, und Gool Van Luc. „An Enhanced On-Line Service for 3D Model Construction from Photographs“. International Journal of Heritage in the Digital Era 1, Nr. 2 (Juni 2012): 277–94. http://dx.doi.org/10.1260/2047-4970.1.2.277.
Der volle Inhalt der QuelleWang, Wei, Fengjiao Gao und Yongliang Shen. „Res-NeuS: Deep Residuals and Neural Implicit Surface Learning for Multi-View Reconstruction“. Sensors 24, Nr. 3 (29.01.2024): 881. http://dx.doi.org/10.3390/s24030881.
Der volle Inhalt der QuelleXia, Wei, Rongfeng Lu, Yaoqi Sun, Chenghao Xu, Kun Lv, Yanwei Jia, Zunjie Zhu und Bolun Zheng. „3D Indoor Scene Completion via Room Layout Estimation“. Journal of Physics: Conference Series 2025, Nr. 1 (01.09.2021): 012102. http://dx.doi.org/10.1088/1742-6596/2025/1/012102.
Der volle Inhalt der QuelleDissertationen zum Thema "Reconstruction 3D de la scene"
Boyling, Timothy A. „Active vision for autonomous 3D scene reconstruction“. Thesis, University of Glasgow, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.433622.
Der volle Inhalt der QuelleNitschke, Christian. „3D reconstruction : real-time volumetric scene reconstruction from multiple views /“. Saarbrücken : VDM Verl. Müller, 2007. http://deposit.d-nb.de/cgi-bin/dokserv?id=2939698&prov=M&dok_var=1&dok_ext=htm.
Der volle Inhalt der QuelleRoldão, Jimenez Luis Guillermo. „3D Scene Reconstruction and Completion for Autonomous Driving“. Electronic Thesis or Diss., Sorbonne université, 2021. http://www.theses.fr/2021SORUS415.
Der volle Inhalt der QuelleIn this thesis, we address the challenges of 3D scene reconstruction and completion from sparse and heterogeneous density point clouds. Therefore proposing different techniques to create a 3D model of the surroundings.In the first part, we study the use of 3-dimensional occupancy grids for multi-frame reconstruction, useful for localization and HD-Maps applications. This is done by exploiting ray-path information to resolve ambiguities in partially occupied cells. Our sensor model reduces discretization inaccuracies and enables occupancy updates in dynamic scenarios.We also focus on single-frame environment perception by the introduction of a 3D implicit surface reconstruction algorithm capable to deal with heterogeneous density data by employing an adaptive neighborhood strategy. Our method completes small regions of missing data and outputs a continuous representation useful for physical modeling or terrain traversability assessment.We dive into deep learning applications for the novel task of semantic scene completion, which completes and semantically annotates entire 3D input scans. Given the little consensus found in the literature, we present an in-depth survey of existing methods and introduce our lightweight multiscale semantic completion network for outdoor scenarios. Our method employs a new hybrid pipeline based on a 2D CNN backbone branch to reduce computation overhead and 3D segmentation heads to predict the complete semantic scene at different scales, being significantly lighter and faster than existing approaches
Goldman, Benjamin Joseph. „Broadband World Modeling and Scene Reconstruction“. Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/23094.
Der volle Inhalt der QuelleThe process involves two main steps. The first is stereo correspondence using block matching algorithms with filtering to improve the quality of this matching process. The disparity maps are then transformed into 3D point clouds. These point clouds are filtered again before the registration process is done. The registration uses a SAC-IA matching technique to align the point clouds with minimum error. The registered final cloud is then filtered again to smooth and down sample the large amount of data. This process was implemented through software architecture that utilizes Qt, OpenCV, and Point Cloud Library. It was tested using a variety of experiments on each of the components of the process. It shows promise for being able to replace or augment existing UGV perception systems in the future.
Master of Science
Booth, Roy. „Scene analysis and 3D object reconstruction using passive vision“. Thesis, University of Newcastle Upon Tyne, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.295780.
Der volle Inhalt der QuelleAufderheide, Dominik. „VISrec! : visual-inertial sensor fusion for 3D scene reconstruction“. Thesis, University of Bolton, 2014. http://ubir.bolton.ac.uk/649/.
Der volle Inhalt der QuelleChandraker, Manmohan Krishna. „From pictures to 3D global optimization for scene reconstruction /“. Diss., [La Jolla] : University of California, San Diego, 2009. http://wwwlib.umi.com/cr/ucsd/fullcit?p3369041.
Der volle Inhalt der QuelleTitle from first page of PDF file (viewed September 15, 2009). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 235-246).
Manessis, A. „3D reconstruction from video using a mobile robot“. Thesis, University of Surrey, 2001. http://epubs.surrey.ac.uk/844129/.
Der volle Inhalt der QuelleMoodie, Daniel Thien-An. „Sensor Fused Scene Reconstruction and Surface Inspection“. Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/47453.
Der volle Inhalt der QuelleMaster of Science
D'Angelo, Paolo. „3D scene reconstruction by integration of photometric and geometric methods“. [S.l.] : [s.n.], 2007. http://deposit.ddb.de/cgi-bin/dokserv?idn=985352949.
Der volle Inhalt der QuelleBücher zum Thema "Reconstruction 3D de la scene"
Nitschke, Christian. 3D reconstruction: Real-time volumetric scene reconstruction from multiple views. Saarbrücken: VDM, Verlag Dr. Müller, 2007.
Den vollen Inhalt der Quelle findenWeinmann, Martin. Reconstruction and Analysis of 3D Scenes. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29246-5.
Der volle Inhalt der QuelleBellocchio, Francesco, N. Alberto Borghese, Stefano Ferrari und Vincenzo Piuri. 3D Surface Reconstruction. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-5632-2.
Der volle Inhalt der QuelleZhang, Zhengyou, und Olivier Faugeras. 3D Dynamic Scene Analysis. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-58148-9.
Der volle Inhalt der Quelle1948-, DeHaan John D., Hrsg. Forensic fire scene reconstruction. Upper Saddle River, N.J: Prentice-Hall, 2004.
Den vollen Inhalt der Quelle finden1948-, DeHaan John D., Hrsg. Forensic fire scene reconstruction. 2. Aufl. Upper Saddle River, N.J: Pearson/Prentice Hall, 2009.
Den vollen Inhalt der Quelle findenIcove, David J. Forensic fire scene reconstruction. 2. Aufl. Upper Saddle River, N.J: Pearson/Prentice Hall, 2009.
Den vollen Inhalt der Quelle findenAbdelguerfi, Mahdi, Hrsg. 3D Synthetic Environment Reconstruction. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4419-8756-3.
Der volle Inhalt der QuelleInternational Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, (2nd : 1993 : Snowbird, Utah), Hrsg. Fully 3D image reconstruction. Bristol: IOP Publishing, 1994.
Den vollen Inhalt der Quelle findenMahdi, Abdelguerfi, Hrsg. 3D synthetic environment reconstruction. Boston: Kluwer Academic Publishers, 2001.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Reconstruction 3D de la scene"
Lucas, Laurent, Céline Loscos und Yannick Remion. „3D Scene Reconstruction and Structuring“. In 3D Video, 157–72. Hoboken, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118761915.ch8.
Der volle Inhalt der QuelleWeinmann, Martin. „3D Scene Analysis“. In Reconstruction and Analysis of 3D Scenes, 141–224. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-29246-5_6.
Der volle Inhalt der QuelleChen, Jian, Bingxi Jia und Kaixiang Zhang. „Road Scene 3D Reconstruction“. In Multi-View Geometry Based Visual Perception and Control of Robotic Systems, 73–94. Boca Raton, FL : CRC Press/Taylor &Francis Group, 2017.: CRC Press, 2018. http://dx.doi.org/10.1201/9780429489211-5.
Der volle Inhalt der QuelleZhang, Zhengyou, und Olivier Faugeras. „Reconstruction of 3D Line Segments“. In 3D Dynamic Scene Analysis, 29–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/978-3-642-58148-9_3.
Der volle Inhalt der QuelleMorana, Marco. „3D Scene Reconstruction Using Kinect“. In Advances in Intelligent Systems and Computing, 179–90. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03992-3_13.
Der volle Inhalt der QuelleHartley, Richard, und Gilles Debunne. „Dualizing Scene Reconstruction Algorithms“. In 3D Structure from Multiple Images of Large-Scale Environments, 14–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-49437-5_2.
Der volle Inhalt der QuelleJiang, Cansen, Yohan Fougerolle, David Fofi und Cédric Demonceaux. „Dynamic 3D Scene Reconstruction and Enhancement“. In Image Analysis and Processing - ICIAP 2017, 518–29. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68560-1_46.
Der volle Inhalt der QuelleLucas, Laurent, Céline Loscos und Yannick Remion. „3D Reconstruction of Sport Scenes“. In 3D Video, 405–20. Hoboken, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118761915.ch21.
Der volle Inhalt der QuelleMiller, Corey A., und Thomas J. Walls. „Passive 3D Scene Reconstruction via Hyperspectral Imagery“. In Advances in Visual Computing, 413–22. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-14249-4_39.
Der volle Inhalt der QuelleDenninger, Maximilian, und Rudolph Triebel. „3D Scene Reconstruction from a Single Viewport“. In Computer Vision – ECCV 2020, 51–67. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58542-6_4.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Reconstruction 3D de la scene"
Little, Charles Q., Daniel E. Small, Ralph R. Peters und J. B. Rigdon. „Forensic 3D scene reconstruction“. In 28th AIPR Workshop: 3D Visualization for Data Exploration and Decision Making, herausgegeben von William R. Oliver. SPIE, 2000. http://dx.doi.org/10.1117/12.384885.
Der volle Inhalt der QuelleLiu, Juan, Shijie Zhang und Haowen Ma. „Real-time Holographic Display based on Dynamic Scene Reconstruction and Rendering“. In 3D Image Acquisition and Display: Technology, Perception and Applications. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/3d.2023.dw5a.1.
Der volle Inhalt der QuelleShen, Yangping, Yoshitsugu Manabe und Noriko Yata. „3D scene reconstruction and object recognition for indoor scene“. In International Workshop on Advanced Image Technology, herausgegeben von Phooi Yee Lau, Kazuya Hayase, Qian Kemao, Wen-Nung Lie, Yung-Lyul Lee, Sanun Srisuk und Lu Yu. SPIE, 2019. http://dx.doi.org/10.1117/12.2521492.
Der volle Inhalt der QuelleSabharwal, Chaman L. „Stereoscopic projections and 3D scene reconstruction“. In the 1992 ACM/SIGAPP symposium. New York, New York, USA: ACM Press, 1992. http://dx.doi.org/10.1145/130069.130155.
Der volle Inhalt der QuelleShan, Qi, Riley Adams, Brian Curless, Yasutaka Furukawa und Steven M. Seitz. „The Visual Turing Test for Scene Reconstruction“. In 2013 International Conference on 3D Vision (3DV). IEEE, 2013. http://dx.doi.org/10.1109/3dv.2013.12.
Der volle Inhalt der QuelleDa Silveira, Thiago L. T., und Cláudio R. Jung. „Dense 3D Indoor Scene Reconstruction from Spherical Images“. In Conference on Graphics, Patterns and Images. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/sibgrapi.est.2020.12977.
Der volle Inhalt der QuelleHuzaifa, Muhammad, Boyuan Tian, Yihan Pang, Henry Che, Shenlong Wang und Sarita Adve. „ADAPTIVEFUSION: Low Power Scene Reconstruction“. In 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW). IEEE, 2023. http://dx.doi.org/10.1109/vrw58643.2023.00296.
Der volle Inhalt der QuelleMiksik, Ondrej, Yousef Amar, Vibhav Vineet, Patrick Perez und Philip H. S. Torr. „Incremental dense multi-modal 3D scene reconstruction“. In 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2015. http://dx.doi.org/10.1109/iros.2015.7353479.
Der volle Inhalt der QuelleHane, Christian, Christopher Zach, Andrea Cohen, Roland Angst und Marc Pollefeys. „Joint 3D Scene Reconstruction and Class Segmentation“. In 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2013. http://dx.doi.org/10.1109/cvpr.2013.20.
Der volle Inhalt der QuelleMcBride, Jonah C., Magnus S. Snorrason, Thomas R. Goodsell, Ross S. Eaton und Mark R. Stevens. „3D scene reconstruction: why, when, and how?“ In Defense and Security, herausgegeben von Grant R. Gerhart, Chuck M. Shoemaker und Douglas W. Gage. SPIE, 2004. http://dx.doi.org/10.1117/12.542678.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Reconstruction 3D de la scene"
Defrise, Michel, und Grant T. Gullberg. 3D reconstruction of tensors and vectors. Office of Scientific and Technical Information (OSTI), Februar 2005. http://dx.doi.org/10.2172/838184.
Der volle Inhalt der QuelleLyckegaard, A., A. Alpers, W. Ludwig, R. W. Fonda, L. Margulies, A. Goetz, H. O. Soerensen, S. R. Dey, H. F. Poulsen und E. M. Lauridsen. 3D Grain Reconstruction from Boxscan Data. Fort Belvoir, VA: Defense Technical Information Center, Januar 2010. http://dx.doi.org/10.21236/ada530190.
Der volle Inhalt der QuelleWeiss, Isaac. 3D Curve Reconstruction From Uncalibrated Cameras. Fort Belvoir, VA: Defense Technical Information Center, Januar 1996. http://dx.doi.org/10.21236/ada306610.
Der volle Inhalt der QuelleRother, Diego, Kedar Patwardhan, Iman Aganj und Guillermo Sapiro. 3D Priors for Scene Learning from a Single View. Fort Belvoir, VA: Defense Technical Information Center, Mai 2008. http://dx.doi.org/10.21236/ada513268.
Der volle Inhalt der QuelleKRUHL, Jörn H., Robert MARSCHALLINGER, Kai-Uwe HESS, Asher FLAWS und Richard ZEFACK KHEMAKA. 3D fabric recording by neutron tomography: benchmarking with destructive 3D reconstruction. Cogeo@oeaw-giscience, Juni 2010. http://dx.doi.org/10.5242/cogeo.2010.0009.
Der volle Inhalt der QuelleKRUHL, Jörn H., Robert MARSCHALLINGER, Kai-Uwe HESS, Asher FLAWS und Richard ZEFACK KHEMAKA. 3D fabric recording by neutron tomography: benchmarking with destructive 3D reconstruction. Cogeo@oeaw-giscience, Juni 2010. http://dx.doi.org/10.5242/cogeo.2010.0009.a01.
Der volle Inhalt der QuelleRosales, Romer, Vassilis Athitsos, Leonid Sigal und 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.
Der volle Inhalt der QuelleBlankenbecler, Richard. 3D Image Reconstruction: Determination of Pattern Orientation. Office of Scientific and Technical Information (OSTI), März 2003. http://dx.doi.org/10.2172/812988.
Der volle Inhalt der QuelleScott, Logan, und Thomas Karnowski. An Evaluation of Three Dimensional Scene Reconstruction Tools for Safeguards Applications. Office of Scientific and Technical Information (OSTI), Oktober 2023. http://dx.doi.org/10.2172/2205425.
Der volle Inhalt der QuelleTyler, Christopher W., und Tai-Sing Lee. Encoding of 3D Structure in the Visual Scene: A New Conceptualization. Fort Belvoir, VA: Defense Technical Information Center, März 2013. http://dx.doi.org/10.21236/ada580528.
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