Statistical Shape and Deformation Analysis: Methods, Implementation and Applications Computer Vision and Pattern Recognition | 1 Edition

Compare Textbook Prices for Statistical Shape and Deformation Analysis: Methods, Implementation and Applications Computer Vision and Pattern Recognition 1 Edition ISBN 9780128104934 by Zheng, Guoyan,Li, Shuo,Szekely, Gabor
Authors: Zheng, Guoyan,Li, Shuo,Szekely, Gabor
ISBN:0128104937
ISBN-13: 9780128104934
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Details about Statistical Shape and Deformation Analysis: Methods, Implementation and Applications Computer Vision and Pattern Recognition:

Statistical Shape and Deformation Analysis: Methods, Implementation and Applications contributes enormously to solving different problems in patient care and physical anthropology, ranging from improved automatic registration and segmentation in medical image computing to the study of genetics, evolution and comparative form in physical anthropology and biology.

This book gives a clear description of the concepts, methods, algorithms and techniques developed over the last three decades that is followed by examples of their implementation using open source software.

Applications of statistical shape and deformation analysis are given for a wide variety of fields, including biometry, anthropology, medical image analysis and clinical practice.

  • Presents an accessible introduction to the basic concepts, methods, algorithms and techniques in statistical shape and deformation analysis
  • Includes implementation examples using open source software
  • Covers real-life applications of statistical shape and deformation analysis methods

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I went to Cornell University for a B.S. and Master's in Electrical and Computer Engineering and to UCSD for a PhD in Computer Science (Distributed Systems, Networking). I've tutored in various subjects for years, including test-based tutoring (such as the SAT or GRE or the algebra II final that some school districts require for graduation) as well as general tutoring - help through the course of a year or semester in Algebra, Calculus, Geometry, etc. I have also worked extensively with student ... Read more

I went to Cornell University for a B.S. and Master's in Electrical and Computer Engineering and to UCSD for a PhD in Computer Science (Distributed Systems, Networking). I've tutored in various subjects for years, including test-based tutoring (such as the SAT or GRE or the algebra II final that some school districts require for graduation) as well as general tutoring - help through the course of a year or semester in Algebra, Calculus, Geometry, etc. I have also worked extensively with student ... Read more

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