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.

http://www.amazon.com/exec/obidos/tg/detail/-/0387263713/

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