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Rating: 
Summary: Good introduction to Computer and Robot Vision
Review: I have to admit that I read this book many years ago. This is not a book that should be read as a way to keep oneself updated on the latest research in the field. It should be seen as a comprehensive, but systematic introduction to basic machine vision techniques. As such, it is a great book, maybe a classic. Its focus is on such topics as Binary Image Processing, Optics, Image formation, Transforms, Filtering, Stereo vision, Optical flow, Noise reduction, etc. It is well organized, and it covers the fundamentals of many useful techniques.
Rating:
Summary: The Classic of Computer Vision
Review: When I first picked up Robot Vision, I was a bit concerned at the age of the book: the field of computer/machine/robot vision progresses at a fantastic pace, and it would seem a given that such a book would be so out of date as to be useless.However, while this book might not reflect the latest research, especially the tight interweaving of computer graphics and computer vision as exists now or in areas such as active vision, it is a rich presentation of the core ideas of machine vision. In particular, it provides a mathematically rigorous presentation, focusing on core notions of geometric optics and calibration, as well as classic approaches to segmentation, edge detection, signal filtering, and the like. I would strongly suggest this book as a text that every serious computer vision, robotics, or computer graphics researcher should own; of course, it isn't the _only_ book you should own, and the bibliography certainly won't let you in on the latest trends in vision. Nonetheless, I think the book is so well written that it will remain useful for many years to come.
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