Robot Vision

Cambridge, Mass: MIT Press ; New York: McGraw-Hill, 1986. First ed., seventh printing. Small quarto in purple illus jacket; x, 509 pages: illustrations; 24 cm; bibliographical references (pages 475-502) and index. Ink to a handful of pages; else very good thus, in a tight binding; and in about very good(-) jacket with a few chips and tears. Hardcover. ISBN: 0070303495; 9780070303492

Great jacket illustration! The MIT Electrical Engineering and Computer Science Series.

Contents: Preface -- Introduction -- Image formation & image sensing -- Binary images: geometrical properties -- Binary images: topological properties -- Regions & image segmentation -- Image processing: continuous images -- Image processing: discrete images -- Edges & edge finding -- Lightness & color -- Reflectance map: photometric stereo -- Reflectance map: shape from shading -- Motion field & optical flow -- Photogrammetry & stereo -- Pattern classification -- Polyhedral objects -- Extended Gaussian images -- Passive navigation & structure from motion -- Picking parts out of a bin -- Appendix: Useful mathematical techniques.

"Presents a solid framework for understanding existing work and planning future research."--Cover. This book presents a coherent approach to the fast moving field of machine vision, using a consistent notation based on a detailed understanding of the image formation process. It covers even the most recent research and will provide a useful and current reference for professionals working in the fields of machine vision, image processing, and pattern recognition. An outgrowth of the author's course at MIT, Robot Vision presents a solid framework for understanding existing work and planning future research. Its coverage includes a great deal of material that important to engineers applying machine vision methods in the real world. The chapters on binary image processing, for example, help explain and suggest how to improve the many commercial devices now available. And the material on photometric stereo and the extended Gaussian image points the way to what may be the next thrust in commercialization of the results in this area. The many exercises complement and extend the material in the text, and an extensive bibliography will serve as a useful guide to current research."—Publisher

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