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.
Contents Image Formation and Image SensingBinary Images: Geometrical Properties; Topological PropertiesRegions and Image SegmentationImage Processing: Continuous Images; Discrete ImagesEdges and Edge FindingLightness and ColorReflectance Map: Photometric Stereo Reflectance Map; Shape from ShadingMotion Field and Optical FlowPhotogrammetry and StereoPattern ClassificationPolyhedral ObjectsExtended Gaussian ImagesPassive Navigation and Structure from MotionPicking Parts out of a Bin
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Berthold K. P. Horn is Professor of Electrical Engineering and Computer Science at MIT. He has presided over the field of machine vision for more than a decade and is the author of Robot Vision.Review:
Berthold K. P. Horn, a leading researcher in the area of human and machine vision for many years, has written an excellent textbook on the subject, which is emminently accessible to engineers, teachers, and scientists working in the vision area. The book follows a rigorous mathematical framework, beginning with the physics of image formation, and drawing on the most recent computational theories of human/machine perception of lightness, shape, movement, and depth, concluding with chapters devoted to realistic applications in automated navigation and industrial robotics.(Al Bovik, Department of Electrical and Computer Engineering, University of Texas at Austin)
Robot Vision presents a coherent development, from image formation, through image analysis to scene analysis. The remarkable achievement of this book is that it serves both as a personal statement of the Horn school of vision and as a textbook. Every scientist and engineer involved with computational vision should read it, carefully!(Alan K. Mackworth, Professor, University of British Columbia)
This book is an absolute must for any researcher claiming to be interested in computer vision.(Eric L. Grimson, Artificial Intelligence Laboratory, MIT)
Robot Vision is an impressive book....an excellent introduction to the field and the first book to thoroughly cover the mathematics of computer vision.(Charles Thorpe American Scientist )
A very good book indeed, probably the best currently available on robot vision and related topics....a valuable reference workfor researchers in this field.(T.M. Husband Times Higher Education Supplement)
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Book Description Mcgraw-Hill. Hardcover. Book Condition: New. 0070303495 New Condition. Bookseller Inventory # NEW6.0023563
Book Description Mcgraw-Hill, 1986. Hardcover. Book Condition: New. Bookseller Inventory # P110070303495
Book Description Mcgraw-Hill, 1986. Hardcover. Book Condition: New. book. Bookseller Inventory # 70303495
Book Description Mcgraw-Hill, 1986. Hardcover. Book Condition: New. Bookseller Inventory # DADAX0070303495