| Summaries and Customer Reviews are supplied by Amazon.com A basic problem in computer vision is to understand the structure of a real world scene. This book covers relevant geometric principles and how to represent objects algebraically so they can be computed and applied. Recent major developments in the theory and practice of scene reconstruction are described in detail in a unified framework. Richard Hartley and Andrew Zisserman provide comprehensive background material and explain how to apply the methods and implement the algorithms. First Edition HB (2000): 0-521-62304-9 Average Customer Rating: Missing a chapter | Customer Rating: | | I received the fourth printing a few weeks ago. It is missing pages 177-208. That includes all of chapter seven, on camera calibration. Ridiculous. | Valuable and full of useful content | Customer Rating: | I find the book very useful, it is full of practically useful content. Formulas, theorems, lots of examples and illustrations. Overall very easy to read and understand, though requires you to recall your forgotten mathematical skills. The book does present what it claims on the first pages, so read the abstract and judge for yourself if you need the book. For my purposes, I found it to contain all the material I needed to perform certain image photo transformations and compositions. There is also lots of reference material, in terms definitions, formulas and theorems with proofs. And it's good to have it all in one place.
Overall I would say it is worth the money. | Lots of Good information, not a lot of words | Customer Rating: | | The book has a lot of valuable information for those who are working in computer vision. The book however is fairly terse on many subject and requires careful reading. | excellent book | Customer Rating: | | My lab has the first edition of this book. Everyone likes it. That's why we order a second book. I have not read through the second edition yet, but this book rocks! | Comment on the first edition | Customer Rating: | | The first edition of this book could have been much better written. It took up a lot of topics, but treated each in a summary fashion. In fairness, though, I must say that this may be as good as any other book with its aim and scope, and better than some. Any writer on computer vision faces the problem of guessing who the reader is likely to be and what the reader's background is. Also, each of the various topics really merits a sizable book. In particular, the mathematics needs a truly mathematical treatment in a separate book. I have not seen this second edition, but there was room for improvement over the first edition. | | |