Geometry I by M. Berger A mathematical treasure on geometry. Contains material which is hard to find otherwise. | Introductory Techniques for 3D Computer vision by E. Trucco and A. Verri A textbook from 1998. It's thin but contains a weath of information With many exercices. | Computer Vision by L.G. Shapiro and G.C. Stockman A broader and fatter textbook from 2001. | |||
Multiple View Geometry in computer vision by R. Hartley and A. Zissermann Deals with multiple view geometry in detail. From 2003. | The Geometry of Multiple Images by O. Faugeras and Q-T. Luong Also this book from 2001 deals with multiple view geometry for perspective images in debth. | Computer Graphics and Geometry Modeling by D. Salomon Much broader book. For us, chapter 3 contains some useful stuff. | |||
Computer Vision, A modern approach by D. Forsyth and J. Ponce Especially relevant are chapter 12, Affine structure from motion and chapter 13, projective structure from motion. | Algorithms for Image Processing and Computer Vision by J.R. Parker Focusses more on Image processing. Useful for the correspondence problem. | Artificial Intelligence, A modern Approach by S. Russell and P. Norvig The bible on AI. Chapter 24 on perception is relevant for computer vision. | |||
Three dimensional Computer Vision, A geometric Viewpoint by O. Faugeras Nice to read for mathematicians. | Panoramic vision, sensors, theory and applications by R. Benosman and S.B. Kang A proceedings with many nice articles on omni vision. | Visual Intelligence. How we create what we see. by D.D. Hoffman Literature in Psychology. Cites Ullmans theorem. | |||