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Introductory Techniques for 3-D Computer Vision |
List Price: $92.00
Your Price: $92.00 |
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Product Info |
Reviews |
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Rating: Summary: A very good introductory book to computer vision Review: Every comer to the field of computer vision should read this book. It has the right mix of theory and practical examples for beginners. It strives to provide very precise definition for terms, which are very helpful to enforce the learning process.
Rating: Summary: An instant classic Review: Every newcomer to the field of computer vision should own this book. With a well organized blend of theory and algorithms, this text clearly and (as important) succinctly introduces the key elements of computer vision. This text has the best introduction to epipolar geometry that I've seen. For a reference, it's very thin. However, for an introductory text, it is hard for me to imagine a much better one. I am not aware of any book that is even comparable.
Rating: Summary: An instant classic Review: Every newcomer to the field of computer vision should own this book. With a well organized blend of theory and algorithms, this text clearly and (as important) succinctly introduces the key elements of computer vision. This text has the best introduction to epipolar geometry that I've seen. For a reference, it's very thin. However, for an introductory text, it is hard for me to imagine a much better one. I am not aware of any book that is even comparable.
Rating: Summary: My head almost exploded! Review: I originally purchased this book for a graduate-level computer vision course. I found the book more obfuscating than helpful. For example, Trucco and Verri's discussion of PCA/SVD, a topic I know quite a bit about, left me confused and frustrated. Unfortunately, their treatment of other topics is not any better.
I have since used the book as a reference on a couple occasions. My opinion of the book has been raised only slightly since my first read, taking my rating all the way up to two stars ;). I suggest that you DO NOT waste your money on this book.
Rating: Summary: It is much more than an excellent book Review: It is an interesting book that can be read with easiness recommended for all the courses of artificial vision, its brings important algorithms, annotations and interesting internet addresses where one can know more about this topic. The division of the book is interesting sandal in an easy way the topic of the vision stereoscopy, connecting the different topics and allowing to the reader, with a simple but technical leguaje, to select those that more they make comfortable to its necessities.
Rating: Summary: Such a great book for novice in computer vision !!! Review: It's a pretty good reference for the one who want to start in computer vision ,espectially in stereo graphic field. With its comprehensive explanation and well oganization,it should be the first book in your computer vision bookshelf.
Rating: Summary: Such a great book for novice in computer vision !!! Review: It's a pretty good reference for the one who want to start in computer vision ,espectially in stereo graphic field. With its comprehensive explanation and well oganization,it should be the first book in your computer vision bookshelf.
Rating: Summary: One of the best books on the topic Review: This is a very precise and well organized books. Every chapter is well justified and moreover each chapter contains relevant algorithms and psuedocode to address the problems discussed. This makes the book particularly practical and useful. Topics discussed follow each other naturally and the authors have done a great job of covering the topics conisely without going overboard.
Rating: Summary: The best textbook for computer vision Review: This is the best textbook for computer vision I've ever met. Compared with Forsyth and Ponce's heavy book titled with "computer vision: a modern approach", this book is very concise, precise, and suitable to be used in classes. Definitions are carefully given. Pseudocode is extremely helpful for practical use. Also some sections about mathematics are appreciated to understand the underlying algorithms. If you want to learn more or do research, then read Forsyth's book after finishing reading this book. Several my collegues think this book is the first choice for new comers in this field.
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