Geometric Invariance in Computer Vision (Artificial Intelligence Series) by Joseph L. Mundy (PDF)

Description

These twenty-three contributions focus on the most recent developments in the rapidly evolving field of geometric invariants and their application to computer vision. The introduction summarizes the basics of invariant theory, discusses how invariants are related to problems in computer vision, and looks at the future possibilities, particularly the notion that invariant analysis might provide a solution to the elusive problem of recognizing general curved 3D objects from an arbitrary viewpoint. The remaining chapters consist of original papers that present important developments as well as tutorial articles that provide useful background material. These chapters are grouped into categories covering algebraic invariants, nonalgebraic invariants, invariants of multiple views, and applications. An appendix provides an extensive introduction to projective geometry and its applications to basic problems in computer vision.

User’s Reviews

Product description 著者について Joseph L. Mundy is a Professor of Engineering at Brown University.Andrew Zisserman is a Science and Engineering Research Council (SERC) Research Fellow in the Department of Computer Science at the University of Edinburgh.Daniel G. Bobrow is a Research Fellow in the Intelligent Systems Laboratory, Xerox Palo Alto Research Center, editor-in-chief of the Journal of Artificial Intelligence, and Chair of the Governing Board of the Cognitive Science Society.Michael Brady is Senior Research Scientist at MIT’s Artifical Intelligence Laboratory.Patrick Henry Winston (1943– 2019) was Ford Professor of Artificial Intelligence and Computer Science at MIT.

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⭐the book I bought is almost perfect, the cover is a bit colorless, but the pages are perfect.

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