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 | | Computer Vision: A Modern Approach by David A. Forsyth, Jean Ponce ISBN-10: 9780130851987 ISBN-10: 0-13-085198-1 ISBN-13: 9780130851987 ISBN-13: 978-0-13-085198-7 Hardcover 2002-08-24 Prentice Hall Find Lowest Price |
Editorials | ||
Book Description The accessible presentation of this book gives both a general view of the entire computer vision enterprise and also offers sufficient detail to be able to build useful applications. Users learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods. A CD-ROM with every copy of the text contains source code for programming practice, color images, and illustrative movies. Comprehensive and up-to-date, this book includes essential topics that either reflect practical significance or are of theoretical importance. Topics are discussed in substantial and increasing depth. Application surveys describe numerous important application areas such as image based rendering and digital libraries. Many important algorithms broken down and illustrated in pseudo code. Appropriate for use by engineers as a comprehensive reference to the computer vision enterprise. | ||
Reviews | ||
Must read If you're into Computer Vision this is a must read. The concepts are well explained, and the topics covers all the basic things to know about CV. The edition is very good. | ||
Terrible book, Hard to understand! It is hard for me, as a Ph.D. graduate student to understand this book. The content is not well organized and many terms are not defined before using. Not recommend for any person. | ||
Broad, but a mess. This is, from what I can tell, just about the most complete up-to-date text in the field of computer vision as of late 2006. But it's a mess. I'm a PhD student, and have worked my way through more than my fair share of high-level computer science textbooks. This one makes me really appreciate many of them. It reads like a first draft -- overly wordy at times, skipping over important issues, poorly organized... Some concepts that ought to be really simple are made very painful due to what seems to be laziness on the part of the editor. It's like the only people that critiqued this book prior to publication already knew all there is to know about computer vision. A particularly nasty aspect of this book is that the authors have a horrible habit of including some term in some complex mathematical formula, with no reference whatsoever to that term in the surrounding text! In an explanation of how to use Expectation Maximization in line-fitting, they include a standard-deviation term, with no mention of how you're supposed to choose a value for it other than "...for sigma as before". The only "before" in which the SD (sigma) is mentioned in a similar context that I can find is IN THE PREVIOUS CHAPTER!!! Anyway, if you want to try to teach yourself vision, don't bother. If you need the book for a class, I'm sorry it's so expensive. Either way, don't expect much. | ||
Computer vision I think this book is the most complete computer vision arguments. In fact it start to speaks from radiometry to steriovision passing by filter uses!! Good very good | ||
A good up-to-date reference. Comes with solid introductions to (multi-)camera geometries. First of all, I got a 2003 reprint, and somehow, every single fraction bar (the division sign) is missing in the math expressions for the entire book! Very annoying. I had expected more from Prentice Hall. I advise one to open the book before the return period elapses. Secondly, I agree to the reviews that say this book being not intuitive. I assume the authors tried to make it concise and came up with a hard read. For example, it explains 2D Fourier analysis in just 3 pages. Of course it's not for first learners. But I get the feeling they could've done a little better in presenting ideas. The upside is that this book covers quite recent topics. Hence this book may be used as a good survey of the field today. Personally, I get to grasp rough ideas of the topics I usually don't have time to hit the papers on. Which I appreciate. I knock 2 stars off for overpricing and the misprints in my copy. [Added in July 2007] I find the chapters on multi-camera geometry, stereopsis, and structure-from-motion are very well written. I'd give it another star for it but the "edit" page won't allow it. So here it is. It's * * * * -- a four star! | ||