Multiple View Geometry in Computer Vision
ISBN-13:
9780521540513
ISBN-10:
0521540518
Edition:
2
Author:
Richard Hartley, Andrew Zisserman
Publication date:
2004
Publisher:
Cambridge University Press
Format:
Paperback
670 pages
FREE US shipping
on ALL non-marketplace orders
Rent
35 days
Due May 03, 2024
35 days
from $44.96
USD
Marketplace
from $64.91
USD
Marketplace offers
Seller
Condition
Note
Seller
Condition
Used - Good
Book details
ISBN-13:
9780521540513
ISBN-10:
0521540518
Edition:
2
Author:
Richard Hartley, Andrew Zisserman
Publication date:
2004
Publisher:
Cambridge University Press
Format:
Paperback
670 pages
Summary
Multiple View Geometry in Computer Vision (ISBN-13: 9780521540513 and ISBN-10: 0521540518), written by authors
Richard Hartley, Andrew Zisserman, was published by Cambridge University Press in 2004.
With an overall rating of 4.0 stars, it's a notable title among other
AI & Machine Learning
(Graphics & Design, Hardware & DIY, Graphics & Multimedia, Programming, Software Design, Testing & Engineering, Applied, Mathematics, Geometry & Topology, Computer Science) books. You can easily purchase or rent Multiple View Geometry in Computer Vision (Paperback) from BooksRun,
along with many other new and used
AI & Machine Learning
books
and textbooks.
And, if you're looking to sell your copy, our current buyback offer is $19.67.
Description
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
We would LOVE it if you could help us and other readers by reviewing the book
Book review
Congratulations! We have received your book review.
{user}
{createdAt}
by {truncated_author}