Three-Dimensional Computer Vision (Artificial Intelligence)

Rating:
Summary: Not that good
Review: During my master thesis I read parts of this book. One thing I can say about it, is that if you don't know projective geometry when beginning to read this book, you will not learn it from here. Yes, Faugeras probably has a very intuitive feel for this field of science but he does not explain his ideas in a pedagogical manner. My advise is, read the book and get the idea, then read some other book to do it. Faugeras will not tell you how.

I got this confirmed from two other sources as well, after discovering it myself.

Rating:
Summary: A good introduction to geometry in computer vision.
Review: If you are a beginner in computer vision and can't understand geometry in it, you need a copy of this book. It is the most comprehensive book I have ever seen and answers nearly every question you could have about geometry in computer vision. Especially for those who have familiar with image proceeing. It really coincide with its subtitle "A Geometric Viewpoint". It also emphasize on mathematics and formulate clearly. Before I read the book,I have nothing about the camera calibration and epipolar geometry, now I am familiar with them. I always recommend it to my friends in computer vision. In a word, it is a bible of computer vision.