Selected Product:
| Computer Vision: A Modern Approach
Hardcover
Edition: US ed
Author: David A. Forsyth, Jean Ponce
Publisher: Prentice Hall
Release Date: 2002-08-24
ISBN-10: 0130851981
ISBN-13: 9780130851987
List Price: $118.00
Average Customer Rating:
   | |
Pattern Recognition and Machine Learning (Information Science and Statistics)
ISBN-10: 0387310738
ISBN-13: 9780387310732
List Price:$84.95
Digital Image Processing (3rd Edition)
ISBN-10: 013168728X
ISBN-13: 9780131687288
List Price:$149.33
Multiple View Geometry in Computer Vision
ISBN-10: 0521540518
ISBN-13: 9780521540513
List Price:$95.00
Computer Vision
ISBN-10: 0130307963
ISBN-13: 9780130307965
List Price:$128.00
Introductory Techniques for 3-D Computer Vision
ISBN-10: 0132611082
ISBN-13: 9780132611084
List Price:$120.40
|
To use our price comparison to get the cheapest price, please click on the "Find the Cheapest Price" button located above for Computer Vision: A Modern Approach by David A. Forsyth, Jean Ponce (ISBN-10: 0130851981, ISBN-13: 9780130851987).
At this time we have not yet written a review for Computer Vision: A Modern Approach by David A. Forsyth, Jean Ponce (ISBN-10: 0130851981, ISBN-13: 9780130851987). Please continue to keep checking back to this page as we are constantly adding reviews.
Summaries and Customer Reviews are supplied by Amazon.com
Appropriate for upper-division undergraduate- and graduate-level courses in computer vision found in departments of Computer Science, Computer Engineering and Electrical Engineering. This long anticipated book is the most complete treatment of modern computer vision methods by two of the leading authorities in the field. This accessible presentation gives both a general view of the entire computer vision enterprise and also offers sufficient detail for students to be able to build useful applications. Students will learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods.
complete mess
| Customer Rating: | | this book is incredibly hard to understand and I would not recommend it to anyone. |
Must read
| Customer Rating: | | 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!
| Customer Rating: | 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.
| Customer Rating: | 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
| Customer Rating: | 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 |
|
