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.

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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