Synopsis
Non-rigid point registration is the process of aligning one set of points to another that is deformed from the former. It plays a key role in many computer vision, medical imaging and pattern recognition applications, such as generating cartoon animation, object retrieval, recovering dynamic motions of human organs and muscles, and template matching for hand-written characters. In this book, we introduce a novel approach for muscle function estimation using non-rigid point set registration.
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About the Author
Dr. Yang is currently working in the School of Information Science and Technology, Yunnan Normal University. He received his bachelor degree from Chiba Institute of Technology in 2004, master degree from Waseda University in 2007, and PhD degree from National University of Singapore in 2013.
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Non-rigid Point Set Registration based Muscle Function Estimation
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LAP LAMBERT Academic Publishing Nov 2016, 2016
ISBN 10: 3659976121
ISBN 13: 9783659976124
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Non-rigid point registration is the process of aligning one set of points to another that is deformed from the former. It plays a key role in many computer vision, medical imaging and pattern recognition applications, such as generating cartoon animation, object retrieval, recovering dynamic motions of human organs and muscles, and template matching for hand-written characters. In this book, we introduce a novel approach for muscle function estimation using non-rigid point set registration. 180 pp. Englisch. Seller Inventory # 9783659976124
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Non-rigid Point Set Registration based Muscle Function Estimation
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Non-rigid Point Set Registration based Muscle Function Estimation
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Yang YangDr. Yang is currently working in the School of Information Science and Technology, Yunnan Normal University. He received his bachelor degree from Chiba Institute of Technology in 2004, master degree from Waseda University in. Seller Inventory # 158431191
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Non-rigid Point Set Registration based Muscle Function Estimation
Published by
LAP LAMBERT Academic Publishing Nov 2016, 2016
ISBN 10: 3659976121
ISBN 13: 9783659976124
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Non-rigid point registration is the process of aligning one set of points to another that is deformed from the former. It plays a key role in many computer vision, medical imaging and pattern recognition applications, such as generating cartoon animation, object retrieval, recovering dynamic motions of human organs and muscles, and template matching for hand-written characters. In this book, we introduce a novel approach for muscle function estimation using non-rigid point set registration.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 180 pp. Englisch. Seller Inventory # 9783659976124
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Non-rigid Point Set Registration based Muscle Function Estimation
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ISBN 10: 3659976121
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Non-rigid point registration is the process of aligning one set of points to another that is deformed from the former. It plays a key role in many computer vision, medical imaging and pattern recognition applications, such as generating cartoon animation, object retrieval, recovering dynamic motions of human organs and muscles, and template matching for hand-written characters. In this book, we introduce a novel approach for muscle function estimation using non-rigid point set registration. Seller Inventory # 9783659976124
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Non-rigid Point Set Registration based Muscle Function Estimation
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Taschenbuch. Condition: Neu. Non-rigid Point Set Registration based Muscle Function Estimation | Yang Yang (u. a.) | Taschenbuch | 180 S. | Englisch | 2016 | LAP LAMBERT Academic Publishing | EAN 9783659976124 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 107882903
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