This book presents a framework that improves the robustness and accuracy in computing dense optical-flow fields. We propose a global formulation with a regularization term that can handle the 3D flow patterns, such as rotation, zoom, and their combinations, induced by a 3D rigid-body motion. The movitation of this book is that the traditional optical flow regularizers incorrectly penalize the above 3D flow patterns and result in biased estimates. Hence, the purpose of this work is to derive a new suite of regularization expressions that treat all valid flow patterns resulting from a 3D rigid-body motion equally, without unfairly penalizing any of them. Furthermore, we develop a framework of optical flow computation and flow model inference method. The proposed framework can fully utilize the power of the proposed 3D rigid body motion regularizers. The proposed framework is well suited for implementing real-time and high accuracy image and video processing applications.
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Vendeur : moluna, Greven, Allemagne
Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Tsai Chang-MingChang-Ming Tsai was born in Kaohsiung, Taiwan. His major nresearch fields include computer vision, computer grahics, nmachine nlearning and numerical methods. He received nthe B.S. and M.S degree in computer science fr. N° de réf. du vendeur 4964033
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents a framework that improves the robustness and accuracyin computing dense optical-flow fields. We propose a global formulationwith a regularization term that can handle the 3D flow patterns, such as rotation, zoom, and their combinations, induced by a 3D rigid-body motion. The movitation of this book is that the traditionaloptical flow regularizers incorrectly penalize the above 3D flow patterns andresult in biased estimates. Hence, the purpose of this work is to derive a new suite of regularization expressions that treat all valid flow patterns resulting from a 3D rigid-body motion equally, without unfairly penalizing any of them. Furthermore, we develop a framework of optical flow computation and flow model inference method. The proposed framework can fully utilize the power of the proposed 3D rigid body motion regularizers. The proposed framework is well suited for implementing real-time and high accuracy image and video processing applications. N° de réf. du vendeur 9783639173000
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Robust and Efficient 3-D Optical Flow Computing Framework | with scalable and flexible numerical methods | Chang-Ming Tsai | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639173000 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 101536505
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Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
Paperback. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. N° de réf. du vendeur ERICA79036391730076
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