Handbook of Mathematical Models in Computer Vision

This comprehensive volume is an essential reference tool for professional and academic researchers in the filed of computer vision, image processing, and applied mathematics. Continuing rapid advances in image processing have been enhanced by the theoretical efforts of mathematicians and engineers....

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Main Authors Paragios, Nikos, Chen, Yunmei, Faugeras, Olivier
Format eBook Book
LanguageEnglish
Published New York Springer-Verlag 2006
Springer
Springer US
Edition1. Aufl.
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Abstract This comprehensive volume is an essential reference tool for professional and academic researchers in the filed of computer vision, image processing, and applied mathematics. Continuing rapid advances in image processing have been enhanced by the theoretical efforts of mathematicians and engineers. This marriage of mathematics and computer vision - computational vision - has resulted in a discrete approach to image processing that is more reliable when leveraging in practical tasks. This comprehensive volume provides a detailed discourse on the mathematical models used in computational vision from leading educators and active research experts in this field. Topical areas include: image reconstruction, segmentation and object extraction, shape modeling and registration, motion analysis and tracking, and 3D from images, geometry and reconstruction. The book also includes a study of applications in medical image analysis. "Handbook of Mathematical Models in Computer Vision" provides a graduate-level treatment of this subject as well as serving as a complete reference work for professionals. 
AbstractList This comprehensive volume is an essential reference tool for professional and academic researchers in the filed of computer vision, image processing, and applied mathematics. Continuing rapid advances in image processing have been enhanced by the theoretical efforts of mathematicians and engineers. This marriage of mathematics and computer vision - computational vision - has resulted in a discrete approach to image processing that is more reliable when leveraging in practical tasks. This comprehensive volume provides a detailed discourse on the mathematical models used in computational vision from leading educators and active research experts in this field. Topical areas include: image reconstruction, segmentation and object extraction, shape modeling and registration, motion analysis and tracking, and 3D from images, geometry and reconstruction. The book also includes a study of applications in medical image analysis. "Handbook of Mathematical Models in Computer Vision" provides a graduate-level treatment of this subject as well as serving as a complete reference work for professionals. 
Author Faugeras, Olivier
Paragios, Nikos
Chen, Yunmei
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Notes Includes bibliographical references (p. [543]-594) and index
Available also in a print ed.
Mode of access: Internet via World Wide Web.
Title from title screen.
OCLC 64710736
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SubjectTerms Computer Imaging, Vision, Pattern Recognition and Graphics
Computer Science
Computer vision
Computer vision -- Mathematical models -- Handbooks, manuals, etc
Handbooks, manuals, etc
Math Applications in Computer Science
Mathematical Modeling and Industrial Mathematics
Mathematical models
Simulation and Modeling
SubjectTermsDisplay Computer vision -- Mathematical models -- Handbooks, manuals, etc.
Electronic books.
Title Handbook of Mathematical Models in Computer Vision
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