[PDF.72hg] Geometric Invariance in Computer Vision (Artificial Intelligence)

Geometric Invariance in Computer Vision (Artificial Intelligence)

[PDF.wp21] Geometric Invariance in Computer Vision (Artificial Intelligence)

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 | #4516166 in Books |  1992-05-27 | Original language:English | PDF # 1 |  9.50 x6.50 x1.50l, | File type: PDF | 560 pages

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||0 of 2 people found the following review helpful.| almost perfect|By Cugola Nicola|the book I bought is almost perfect, the cover is a bit colorless, but the pages are perfect.|About the Author|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.

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 3...

You can specify the type of files you want, for your device.Geometric Invariance in Computer Vision (Artificial Intelligence)   |  From The MIT Press. A good, fresh read, highly recommended.

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