Guide to 3D Vision Computation Geometric Analysis and Implementation

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Synopsis

This classroom-tested and easy-to-understand textbook/reference describes the state of the art in 3D reconstruction from multiple images, taking into consideration all aspects of programming and implementation. Unlike other computer vision textbooks, this guide takes a unique approach in which the initial focus is on practical application and the procedures necessary to actually build a computer vision system. The theoretical background is then briefly explained afterwards, highlighting how one can quickly and simply obtain the desired result without knowing the derivation of the mathematical detail. Features: reviews the fundamental algorithms underlying computer vision; describes the latest techniques for 3D reconstruction from multiple images; summarizes the mathematical theory behind statistical error analysis for general geometric estimation problems; presents derivations at the end of each chapter, with solutions supplied at the end of the book; provides additional material at an associated website.

Book details

Edition:
1st ed. 2016
Series:
Advances in Computer Vision and Pattern Recognition
Author:
Kenichi Kanatani, Yasuyuki Sugaya, Yasushi Kanazawa
ISBN:
9783319484938
Related ISBNs:
9783319484921
Publisher:
Springer International Publishing
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2019-09-25
Usage restrictions:
Copyright
Copyright date:
2016
Copyright by:
Springer International Publishing, Cham 
Adult content:
No
Language:
English
Categories:
Art and Architecture, Computers and Internet, Nonfiction