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Rating: 
Summary: inaccessible and expensive paperweight
Review: I have to heartily agree with the previous reviewer. This was the assigned text for my postgrad Computer Vision course also and I found it completely incomprehensible. From a practical perspective I don't see how any use can be made of this book.
In contrast Gonzalez&Wood's 'Digital Image Processing' was a joy to read.
Rating: 
Summary: A solid foundation and a modern approach to computer vision
Review: I just got this book, just finished half, and I have to say this is the best computer vision book I have ever read!There are already tons of computer vision (CV) books, many are very good (you can find these good ones from amazon.com, right here), but there are either outdated (CV is a rapidly progressing field), or don't have a solid foundation both in the mathematical and physical senses. Those books that do have these foundations, however, are very difficult to read especially for an engineering student. This book did a superb job keeping the balance between understandability and solidiness. It gives the physical background of CV at the beginning, and covers whatever the required math at the appropriate places. The references are as late as 2000 or 2001. Five star! Highly recommend.
Rating:
Summary: Really a great book! How wonderful!
Review: It is unfortunate, but the current computer vision research becomes inaccessible for the person who does not have solid mathematical and statistical foundations. This wonderful book shows comprehensive summary of the correct figures of this "frontier": very scattered, disperse, and generating thousands of practical ideas. There have never been such a book which explains the logics of so many valuable ideas from old to new in this broad area in self contained and accessible manner. This book really helps a lot to approach to the state of the art papers, such as PAMI, ICCV, and ICPR. This book is trully the shortest cut to those state of the art research activities. I appreciate these authors' endevours a lot!
Rating:
Summary: hard to understand, definitely not for beginners
Review: Lots of math, lots of theory, only a small chapter at the end with some applications. I wish the authors had more clearly explained the motivations for using a particular approach. It looks like a bunch of theories... Not usable.
Rating:
Summary: Very difficult to understand
Review: The author has good mathematics, but not the abilities to explain something clearly to a student or a beginner. I need to buy another book.
Rating:
Summary: don't buy this book
Review: this book sucks! terms are often inconsistent and expressions always unclear. Many simple concepts are written in very complicated ways. Perhaps this is because the author want this book to look more "academic". Don't buy this book unless you are already an expert in this area
Rating: 
Summary: Look for something else to learn Computer Vision
Review: This book was very confusing even for a first year grad student like me...it is not a good book to learn Computer Vision from the beginning. I had to turn to other texts to better understand the material. I was highly disappointed that my professor chose this text for first year grad class in Computer Vision. Unfortunately, I cannot recommend this book. There are other books out there that are so much better to learn Computer Vision.
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