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Message from Dean - May 8th 2007
I am currently testing out a new version of the APF Bridge Component - If you notice any errors within this demo store please drop me a line.
List Price: $123.00Amazon.com's Price: $110.70 You Save: $12.30 (10%)Prices subject to change.
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Binding: Paperback
Dewey Decimal Number: 006.37
EAN: 9780132611084
ISBN: 0132611082
Label: Prentice Hall
Manufacturer: Prentice Hall
Number Of Items: 1
Number Of Pages: 343
Publication Date: March 16, 1998
Publisher: Prentice Hall
Studio: Prentice Hall
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Average Rating: 
Rating:  -
I was a bit disappointed by this book. It is written more like a reference book than something you can read through to learn the material. It is full of various equations with little in the way of "plain english" explanations. If you are VERY comfortable with vector math and looking at lots of equations, then this book may be a good reference. If you are looking for understanding basic concepts, then you will need to look elsewhere.
Rating:  -
I didn't know or hear about this book till one fine morning when I went to our IIT library looking for some good book on computer vision to supplement the knowledge imparted by Horn's book. I found this book and it contained most of the concepts covered thus far in my lectures. Still I was not convinced about the credibility of this book. Somehow, I started grazing through this book in leisure hours.
To my surprise, I found that it was simply an amazing book written so skillfully on computer vision from the basics. The Math fundae in the appendix were the ones I read first. They were very concise and helped me to grasp the concepts quickly. The chapters were also based on recent literature and very much coherent and self-explanatory.
This book has the potential to become a master-piece in computer vision. One unique feature of this book is the clear explanation of Math concepts in each chapter. For it to become more user-friendly, some real application oriented ... Read More
Rating: -
In my humble opinion, mathematics is best explained through intuitions which motivate the rigor. That is, a general, high level, overall understanding of a particular problem and the "theory" behind a solution must be presented before a rigorious algebraic analysis. The particular mathematics should then read like a novel. In this sense, Trucco and Verri succeed, at various parts throughout the text, but certainly fail at others. I would say 4/5th's of the text is well written, and hence the 4 star review.
Rating: -
If you already understand image processing and the basics of computer vision, this book is a very good at concisely presenting more advanced algorithms to the reader. Also, because this book is so well organized, you can read it from beginning to end. Rest assured if you are looking at an algorithm on page 84, you will not need to skip ahead to later sections in the book to understand it. From the beginning, algorithms are named and presented in numbered steps for clarity of presentation. The book starts out with introductory material such as basic optics and the geometry of camera models. It continues with image denoising, as well as two full chapters devoted to image features and their detection. Finally, the more basic material concludes with a chapter on the mathematics of camera calibration. One aspect of vision that is often neglected in other computer vision books that is treated well here is that of motion. For those working in video processing, this might make this book a good selection. ... Read More
Rating:  -
Book uses a very analytical approach. Concepts are very poorly explained and derviations are not explained. As a text this book is well suited as a review for graduate level students. Using the word introductory in the title is very misleading. Do not recommend this book to those looking for an introduction to the world of computer vision.
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