| View Larger Image | Introductory Techniques for 3-D Computer Vision | Paperbackby Trucco (Author), Alessandro Verri (Author)
| List Price: | $131.00 | |
| | Binding: | Paperback | | Publisher: | Prentice Hall | | Page Count: | 343 Pages | | Publication Date: | March 16, 1998 | | Sales Rank: | 361,072st |
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EDITORIAL REVIEWS |
Product Description
Senior/Graduate level courses on computer vision, robot vision and image processing in electrical and computer engineering, mathematics, and computer science departments, and an essential reference for researchers and scientists in the field of computer vision. An applied introduction to modern computer vision, focusing on a set of computational techniques for 3-D imaging. Covers a wide range of fundamental problems encountered within computer vision and provides detailed algorithmic and theoretical solutions for each. Each chapter concentrates on a specific problem and solves it by building on previous results. |
CUSTOMER REVIEWS (Average Customer Rating: 4.0 based on 12 reviews)
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More of a reference book by Thomas Polk (Huntersville, NC USA)  2 Stars
August 23, 2007
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.
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Extra-ordinary book on Computer Vision! by Shanmuganathan R (IIT Bombay, Mumbai, India)  5 Stars
April 29, 2006
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 problems should be added.
But, on the whole, this book is an excellent book to be read along with Horn's book to fully understand the basics of computer vision. I strongly recommend this book to any novice to computer vision with little understanding of image processing concepts.
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Some nice intuitions by O. Ahmad (Baltimore MD)  4 Stars
December 23, 2005
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.
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Excellent intermediate textbook on Computer Vision by calvinnme (Fredericksburg, Va) 5 Stars
September 16, 2005
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. Also, the book gives one of the best discussions of eigenspaces that I have seen in print in chapter ten of the book, where the subject is recognition of 3D objects. I was able to code up the eigenfaces face recognition algorithm based almost entirely on the information found in chapter ten of this book. If you need an introduction to computer vision before tackling the more advanced material in this text, try Shapiro's book "Computer Vision" ISBN 0130307963. A good knowledge of linear algebra is necessary prior to understanding the algorithms in this book such as is found in Schaum's outline of Matrix Operations. Given the specific subject matter of this book, it would probably be an excellent choice for an engineer or scientist that is interested in computer vision as it relates to robotics.
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Not for the beginner by J Rock  3 Stars
March 22, 2005
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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