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Multiple View Geometry in Computer Vision Second Edition

Multiple View Geometry in Computer Vision Second Edition

Multiple View Geometry in Computer Vision Second Edition
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Multiple View Geometry in Computer Vision Second Edition Paperback - 2004 - 2nd Edition

by Hartley, Richard

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Cambridge University Press. 2. Paperback. Used; Good. Simply Brit – welcome to our online used book store, where affordability meets great quality. Dive into a world of captivating reads without breaking the bank. We take pride in offering a wide selection of used books, from classics to hidden gems, ensuring there’s something for every literary palate. All orders are shipped within 24 hours and our lightning fast-delivery within 48 hours coupled with our prompt customer service ensures a smooth journey from ordering to delivery. Discover the joy of reading with us, your trusted source for affordable books that do not compromise on quality. 03/25/2004
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Details

  • Title Multiple View Geometry in Computer Vision Second Edition
  • Author Hartley, Richard
  • Binding Paperback
  • Edition number 2nd
  • Edition 2
  • Condition Used; Good
  • Pages 670
  • Volumes 1
  • Language ENG
  • Publisher Cambridge University Press
  • Publication date 2004-03-25
  • Features Bibliography, Index
  • Bookseller's Inventory # 4377966
  • ISBN 9780521540513 / 0521540518
  • Weight 2.9 lbs (1.32 kg)
  • Dimensions 9.6 x 6.8 x 1.2 in (24.38 x 17.27 x 3.05 cm)
  • Category Computers - General Information
  • Library of Congress subjects Geometry, Projective, Computer vision
  • Library of Congress Catalogue Number 00023614
  • Dewey Decimal Code 006.37
  • Quantity available 1

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Reader reviews for Multiple View Geometry in Computer Vision Second Edition

From the publisher

A basic problem in computer vision is to understand the structure of a real world scene. This book covers relevant geometric principles and how to represent objects algebraically so they can be computed and applied. Recent major developments in the theory and practice of scene reconstruction are described in detail in a unified framework. Richard Hartley and Andrew Zisserman provide comprehensive background material and explain how to apply the methods and implement the algorithms. First Edition HB (2000): 0-521-62304-9

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