Group-Theoretical Methods in Image Understanding

Group-Theoretical Methods in Image Understand ...
Kenichi Kanatani, Kenichi Kana ...
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February 28, 2023 | History

Group-Theoretical Methods in Image Understanding

This book presents the mathematics relevant to image understanding by computer vision and gives examples of actual applications. Group representation theory, Lie groups and Lie algebras, the theory of invariance, tensor calculus, differential geometry and projective geometry are used for three-dimensional shape and motion analysis from images, making use of techniques such as shape from motion, shape from texture, shape from angle and shape from surface. Although the mathematics itself may be well known to mathematicians, people working in areas related to computer science, image understanding, computer vision and image processing have usually never studied such mathematics, and so may be surprised to learn that abstract mathematical concepts can be of enormous help in building intelligent computer vision systems.

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Publisher
Springer

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Cover of: Group-Theoretical Methods in Image Understanding
Group-Theoretical Methods in Image Understanding
1990-04-06, Springer
Cover of: Group-Theoretical Methods in Image Understanding
Group-Theoretical Methods in Image Understanding
1990, Springer Berlin Heidelberg
electronic resource / in English

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Edition Identifiers

Open Library
OL46939109M
ISBN 10
3540512535
ISBN 13
9783540512530

Work Identifiers

Work ID
OL19853617W

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Promise Item

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February 28, 2023 Created by ImportBot Imported from Promise Item