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职业迁徙
个人简介
My scientific career includes three different research domains i) Computational Image Processing ii) 3D Computer Vision and iii) Computational Neuro-Imaging.
My contributions have been essentially structured on research axis based on mathematically well-founded and robust methods. Mathematical modeling, accurate analysis and efficient computation are at the heart of the common mathematical foundations and frameworks I proposed to address the crucial criteria of robustness, well-posedness, accuracy, and computational efficiency, just to name a few. Until 2002, my research activities have been performed on computational image processing and 3D computer vision, with a particular emphasis in early vision and on the geometry of multiple views for 3D reconstruction where I successfully advocated the use of differential and projective geometries, variational principles, partial differential equations and level-sets to solve some of the most challenging problems. The mathematical concepts and tools I introduced for variational based edge detection, level-set based image segmentation and PDE based regularization are still state-of-the-art and used world-wide in laboratories and industry. The concept of Fundamental matrix I co-developed with my colleagues is at the heart of most 3D computer vision techniques such as auto-calibration, stereo and reconstruction.
My contributions have been essentially structured on research axis based on mathematically well-founded and robust methods. Mathematical modeling, accurate analysis and efficient computation are at the heart of the common mathematical foundations and frameworks I proposed to address the crucial criteria of robustness, well-posedness, accuracy, and computational efficiency, just to name a few. Until 2002, my research activities have been performed on computational image processing and 3D computer vision, with a particular emphasis in early vision and on the geometry of multiple views for 3D reconstruction where I successfully advocated the use of differential and projective geometries, variational principles, partial differential equations and level-sets to solve some of the most challenging problems. The mathematical concepts and tools I introduced for variational based edge detection, level-set based image segmentation and PDE based regularization are still state-of-the-art and used world-wide in laboratories and industry. The concept of Fundamental matrix I co-developed with my colleagues is at the heart of most 3D computer vision techniques such as auto-calibration, stereo and reconstruction.
研究兴趣
论文共 408 篇作者统计合作学者相似作者
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Fabien Almairac, Petru Isan,Marie Onno,Théodore Papadopoulo,Lydiane Mondot,Stéphane Chanalet, Charlotte Fernandez,Maureen Clerc,Rachid Deriche,Denys Fontaine,Patryk Filipiak
HAL (Le Centre pour la Communication Scientifique Directe) (2022)
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Frontiers in Neuroimaging (2022): 815423
Frontiers in Neuroimaging (2022): 850266
HAL (Le Centre pour la Communication Scientifique Directe) (2022)
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HAL (Le Centre pour la Communication Scientifique Directe) (2022)
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Frontiers in neuroimaging (2022): 917806
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semanticscholar(2021)
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