Multiple View Geometry in Computer Vision

by Richard Hartley and Andrew Zisserman

0 ratings • 0 reviews • 0 shelved
Book cover for Multiple View Geometry in Computer Vision

Bookhype may earn a small commission from qualifying purchases. Full disclosure.

A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques used in the book for solving this are taken from projective geometry and photogrammetry. The authors cover the geometric principles and their algebraic representation in terms of camera projection matrices, the fundamental matrix and the trifocal tensor. The theory and methods of computation of these entities are discussed with real examples, as is their use in the reconstruction of scenes from multiple images. Recent major developments in the theory and practice of scene reconstruction are described in detail in a unified framework. The authors provide comprehensive background material, so a reader familiar with linear algebra and basic numerical methods will be able to understand the projective geometry and estimation algorithms presented, and implement the algorithms directly from the book.
  • ISBN10 1280458127
  • ISBN13 9781280458125
  • Publish Date 1 January 2003 (first published 31 July 2000)
  • Publish Status Active
  • Out of Print 25 February 2015
  • Publish Country US
  • Imprint Cambridge University Press
  • Edition 2nd Revised ed.
  • Pages 655
  • Language English