Gotowa bibliografia na temat „3D model-Driven reconstruction”
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Artykuły w czasopismach na temat "3D model-Driven reconstruction"
Huang, Wei, San Jiang i Wanshou Jiang. "A Model-Driven Method for Pylon Reconstruction from Oblique UAV Images". Sensors 20, nr 3 (4.02.2020): 824. http://dx.doi.org/10.3390/s20030824.
Pełny tekst źródłaTroccaz, J., i P. Cinquin. "Model Driven Therapy". Methods of Information in Medicine 42, nr 02 (2003): 169–76. http://dx.doi.org/10.1055/s-0038-1634329.
Pełny tekst źródłaPistellato, Mara, Filippo Bergamasco, Andrea Torsello, Francesco Barbariol, Jeseon Yoo, Jin-Yong Jeong i Alvise Benetazzo. "A Physics-Driven CNN Model for Real-Time Sea Waves 3D Reconstruction". Remote Sensing 13, nr 18 (21.09.2021): 3780. http://dx.doi.org/10.3390/rs13183780.
Pełny tekst źródłaNguyen, Duc-Phong, Tan-Nhu Nguyen, Stéphanie Dakpé, Marie-Christine Ho Ba Ho Ba Tho i Tien-Tuan Dao. "Fast 3D Face Reconstruction from a Single Image Using Different Deep Learning Approaches for Facial Palsy Patients". Bioengineering 9, nr 11 (27.10.2022): 619. http://dx.doi.org/10.3390/bioengineering9110619.
Pełny tekst źródłaLiu, Yilin, Liqiang Lin, Yue Hu, Ke Xie, Chi-Wing Fu, Hao Zhang i 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.
Pełny tekst źródłaDeng, Yujuan. "Fluid Equation-Based and Data-Driven Simulation of Special Effects Animation". Advances in Mathematical Physics 2021 (22.11.2021): 1–11. http://dx.doi.org/10.1155/2021/7480422.
Pełny tekst źródłaHou, Yaohui, Jianwen Song i Lijun Wang. "P‐2.27: Application of 3D reconstruction technology in VR industry". SID Symposium Digest of Technical Papers 54, S1 (kwiecień 2023): 588–90. http://dx.doi.org/10.1002/sdtp.16361.
Pełny tekst źródłaDu, Xiaofu, Qiuming Zhu, Guoru Ding, Jie Li, Qihui Wu, Tianxu Lan, Zhipeng Lin, Weizhi Zhong i Lu Han. "UAV-Assisted Three-Dimensional Spectrum Mapping Driven by Spectrum Data and Channel Model". Symmetry 13, nr 12 (3.12.2021): 2308. http://dx.doi.org/10.3390/sym13122308.
Pełny tekst źródłaTripodi, S., L. Duan, F. Trastour, V. Poujad, L. Laurore i 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 (17.09.2019): 243–50. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w16-243-2019.
Pełny tekst źródłaSadeghi, F., H. Arefi, A. Fallah i 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 (11.12.2015): 625–30. http://dx.doi.org/10.5194/isprsarchives-xl-1-w5-625-2015.
Pełny tekst źródłaRozprawy doktorskie na temat "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.
Pełny tekst źródłaMost 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.
Pełny tekst źródłaCzęści książek na temat "3D model-Driven reconstruction"
Berretti, Stefano, Alberto Del Bimbo i Pietro Pala. "3D Face Reconstruction from Two Orthogonal Images for Face Recognition Applications". W 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.
Pełny tekst źródłaStreszczenia konferencji na temat "3D model-Driven reconstruction"
Hanajik, Milan. "Efficient data-driven algorithm for the model-based 3D scene reconstruction from perspective images". W Spatial Information from Digital Photogrammetry and Computer Vision: ISPRS Commission III Symposium, redaktorzy Heinrich Ebner, Christian Heipke i Konrad Eder. SPIE, 1994. http://dx.doi.org/10.1117/12.182824.
Pełny tekst źródłaPartovi, Tahmineh, Thomas Kraus, Hossein Arefi, Mohammad Omidalizarandi i Peter Reinartz. "Model-driven 3D building reconstruction based on integeration of DSM and spectral information of satellite images". W IGARSS 2014 - 2014 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2014. http://dx.doi.org/10.1109/igarss.2014.6947150.
Pełny tekst źródłaXu, Baixin, Jiarui Zhang, Kwan-Yee Lin, Chen Qian i Ying He. "Deformable Model-Driven Neural Rendering for High-Fidelity 3D Reconstruction of Human Heads Under Low-View Settings". W 2023 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2023. http://dx.doi.org/10.1109/iccv51070.2023.01643.
Pełny tekst źródłaHu, Yazhe, i Tomonari Furukawa. "A Self-Supervised Learning Technique for Road Defects Detection Based on Monocular Three-Dimensional Reconstruction". W 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.
Pełny tekst źródła"ONTOLOGY-DRIVEN 3D RECONSTRUCTION OF ARCHITECTURAL OBJECTS". W 3D Model Aquisition and Representation. SciTePress - Science and and Technology Publications, 2007. http://dx.doi.org/10.5220/0002047300470054.
Pełny tekst źródłaReck, Michaela, Marc Hilbert, René Hilhorst i Thomas Indinger. "Comparison of Deep Learning Architectures for Dimensionality Reduction of 3D Flow Fields of a Racing Car". W WCX SAE World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2023. http://dx.doi.org/10.4271/2023-01-0862.
Pełny tekst źródłaAmerinatanzi, Amirhesam, Narges Shayesteh Moghaddam, Hamdy Ibrahim i Mohammad Elahinia. "Evaluating a NiTi Implant Under Realistic Loads: A Simulation Study". W 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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