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Spectral Geometry of Shapes

Spectral Geometry of Shapes


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About the Book

Spectral Geometry of Shapes presents unique shape analysis approaches based on shape spectrum in differential geometry. It provides insights on how to develop geometry-based methods for 3D shape analysis. The book is an ideal learning resource for graduate students and researchers in computer science, computer engineering and applied mathematics who have an interest in 3D shape analysis, shape motion analysis, image analysis, medical image analysis, computer vision and computer graphics. Due to the rapid advancement of 3D acquisition technologies there has been a big increase in 3D shape data that requires a variety of shape analysis methods, hence the need for this comprehensive resource.


About the Author: Dr. Jing Hua is a Professor of Computer Science and the founding director of Computer Graphics and Imaging Lab (GIL) and Visualization Lab (VIS) at Computer Science at Wayne State University (WSU). He received his Ph.D. degree (2004) in Computer Science from the State University of New York at Stony Brook. He also received his M.S. degree (1999) in Pattern Recognition and Artificial Intelligence from the Institute of Automation, Chinese Academy of Sciences in Beijing, China and his B.S. degree (1996) in Electrical Engineering from the Huazhong University of Science & Technology in Wuhan, China. His research interests include Computer Graphics, Visualization, Image Analysis and Informatics, Computer Vision, etc. He received the Gaheon Award for the Best Paper of International Journal of CAD/CAM in 2009, the Best Paper Award at ACM Solid Modeling 2004, the WSU Faculty Research Award in 2005, the College of Liberal Arts and Sciences Excellence in Teaching Award in 2008, the K. C. Wong Research Award in 2010, and the Best Demo Awards at GENI Engineering Conference 21 (2014) and 23 (2015), respectively.


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Product Details
  • ISBN-13: 9780128138427
  • Publisher: Academic Press
  • Publisher Imprint: Academic Press
  • Height: 229 mm
  • No of Pages: 152
  • Series Title: Computer Vision and Pattern Recognition
  • Sub Title: Principles and Applications
  • Width: 152 mm
  • ISBN-10: 0128138424
  • Publisher Date: 26 Oct 2019
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 8 mm
  • Weight: 263 gr


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