Literatura científica selecionada sobre o tema "3D model-Driven reconstruction"
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Artigos de revistas sobre o assunto "3D model-Driven reconstruction"
Huang, Wei, San Jiang e Wanshou Jiang. "A Model-Driven Method for Pylon Reconstruction from Oblique UAV Images". Sensors 20, n.º 3 (4 de fevereiro de 2020): 824. http://dx.doi.org/10.3390/s20030824.
Texto completo da fonteTroccaz, J., e P. Cinquin. "Model Driven Therapy". Methods of Information in Medicine 42, n.º 02 (2003): 169–76. http://dx.doi.org/10.1055/s-0038-1634329.
Texto completo da fontePistellato, Mara, Filippo Bergamasco, Andrea Torsello, Francesco Barbariol, Jeseon Yoo, Jin-Yong Jeong e Alvise Benetazzo. "A Physics-Driven CNN Model for Real-Time Sea Waves 3D Reconstruction". Remote Sensing 13, n.º 18 (21 de setembro de 2021): 3780. http://dx.doi.org/10.3390/rs13183780.
Texto completo da fonteNguyen, Duc-Phong, Tan-Nhu Nguyen, Stéphanie Dakpé, Marie-Christine Ho Ba Ho Ba Tho e Tien-Tuan Dao. "Fast 3D Face Reconstruction from a Single Image Using Different Deep Learning Approaches for Facial Palsy Patients". Bioengineering 9, n.º 11 (27 de outubro de 2022): 619. http://dx.doi.org/10.3390/bioengineering9110619.
Texto completo da fonteLiu, Yilin, Liqiang Lin, Yue Hu, Ke Xie, Chi-Wing Fu, Hao Zhang e Hui Huang. "Learning Reconstructability for Drone Aerial Path Planning". ACM Transactions on Graphics 41, n.º 6 (30 de novembro de 2022): 1–17. http://dx.doi.org/10.1145/3550454.3555433.
Texto completo da fonteDeng, Yujuan. "Fluid Equation-Based and Data-Driven Simulation of Special Effects Animation". Advances in Mathematical Physics 2021 (22 de novembro de 2021): 1–11. http://dx.doi.org/10.1155/2021/7480422.
Texto completo da fonteHou, Yaohui, Jianwen Song e Lijun Wang. "P‐2.27: Application of 3D reconstruction technology in VR industry". SID Symposium Digest of Technical Papers 54, S1 (abril de 2023): 588–90. http://dx.doi.org/10.1002/sdtp.16361.
Texto completo da fonteDu, Xiaofu, Qiuming Zhu, Guoru Ding, Jie Li, Qihui Wu, Tianxu Lan, Zhipeng Lin, Weizhi Zhong e Lu Han. "UAV-Assisted Three-Dimensional Spectrum Mapping Driven by Spectrum Data and Channel Model". Symmetry 13, n.º 12 (3 de dezembro de 2021): 2308. http://dx.doi.org/10.3390/sym13122308.
Texto completo da fonteTripodi, S., L. Duan, F. Trastour, V. Poujad, L. Laurore e Y. Tarabalka. "AUTOMATED CHAIN FOR LARGE-SCALE 3D RECONSTRUCTION OF URBAN SCENES FROM SATELLITE IMAGES". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W16 (17 de setembro de 2019): 243–50. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w16-243-2019.
Texto completo da fonteSadeghi, F., H. Arefi, A. Fallah e M. Hahn. "3D BUILDING FAÇADE RECONSTRUCTION USING HANDHELD LASER SCANNING DATA". ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-1-W5 (11 de dezembro de 2015): 625–30. http://dx.doi.org/10.5194/isprsarchives-xl-1-w5-625-2015.
Texto completo da fonteTeses / dissertações sobre o assunto "3D model-Driven reconstruction"
Jin, Nan. "ModSETS : a model-driven stereo eye tracking system : application in the medical field". Electronic Thesis or Diss., Aix-Marseille, 2020. http://www.theses.fr/2020AIXM0339.
Texto completo da fonteMost current eye tracking systems only provide accurate and real-time analysis of 2D (horizontal and vertical) eye movement in laboratory conditions. It is usually insufficient for medical applications, because their robustness is often challenged in practice and the measurement of eye torsion is almost ignored. This increases the difficulty of data interpretation and may thus affect the quality of medical diagnosis. A Model-driven Stereo Eye Tracking System (ModSETS) is proposed in this Ph.D. thesis, to provide accurate, robust, and real-time analysis of 3D (horizontal, vertical and torsional) eye movement for medical applications. The performance of ModSETS in 2D eye movement tracking is proved through a gaze test. It showed a good accuracy (i.e., of about 1°) in gaze estimation that is compliant with the requirements of many medical applications. The robustness of ModSETS in practical conditions is also confirmed, which is reflected by a high success rate in pupil segmentation (i.e., 91.4%). Some encouraging results of eye torsion measurement were obtained, even though it is difficult to make a quantitative assessment with current hardware. Therefore, the principle of ModSETS (Model-driven Stereo Eye Tracking System) is validated and shows great potential in 3D eye movement tracking for medical applications
Partovi, Tahmineh. "3D Building Model Reconstruction from Very High Resolution Satellite Stereo Imagery". Doctoral thesis, 2019. https://repositorium.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-201910022067.
Texto completo da fonteCapítulos de livros sobre o assunto "3D model-Driven reconstruction"
Berretti, Stefano, Alberto Del Bimbo e Pietro Pala. "3D Face Reconstruction from Two Orthogonal Images for Face Recognition Applications". In Multimedia Storage and Retrieval Innovations for Digital Library Systems, 223–39. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0900-6.ch012.
Texto completo da fonteTrabalhos de conferências sobre o assunto "3D model-Driven reconstruction"
Hanajik, Milan. "Efficient data-driven algorithm for the model-based 3D scene reconstruction from perspective images". In Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, editado por Heinrich Ebner, Christian Heipke e Konrad Eder. SPIE, 1994. http://dx.doi.org/10.1117/12.182824.
Texto completo da fontePartovi, Tahmineh, Thomas Kraus, Hossein Arefi, Mohammad Omidalizarandi e Peter Reinartz. "Model-driven 3D building reconstruction based on integeration of DSM and spectral information of satellite images". In IGARSS 2014 - 2014 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2014. http://dx.doi.org/10.1109/igarss.2014.6947150.
Texto completo da fonteXu, Baixin, Jiarui Zhang, Kwan-Yee Lin, Chen Qian e Ying He. "Deformable Model-Driven Neural Rendering for High-Fidelity 3D Reconstruction of Human Heads Under Low-View Settings". In 2023 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2023. http://dx.doi.org/10.1109/iccv51070.2023.01643.
Texto completo da fonteHu, Yazhe, e Tomonari Furukawa. "A Self-Supervised Learning Technique for Road Defects Detection Based on Monocular Three-Dimensional Reconstruction". In ASME 2019 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/detc2019-98135.
Texto completo da fonte"ONTOLOGY-DRIVEN 3D RECONSTRUCTION OF ARCHITECTURAL OBJECTS". In 3D Model Aquisition and Representation. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0002047300470054.
Texto completo da fonteReck, Michaela, Marc Hilbert, René Hilhorst e Thomas Indinger. "Comparison of Deep Learning Architectures for Dimensionality Reduction of 3D Flow Fields of a Racing Car". In WCX SAE World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2023. http://dx.doi.org/10.4271/2023-01-0862.
Texto completo da fonteAmerinatanzi, Amirhesam, Narges Shayesteh Moghaddam, Hamdy Ibrahim e Mohammad Elahinia. "Evaluating a NiTi Implant Under Realistic Loads: A Simulation Study". In ASME 2016 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/smasis2016-9287.
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