- Series: MIT Electrical Engineering and Computer Science
- Hardcover: 480 pages
- Publisher: The MIT Press (March 13, 1986)
- Language: English
- ISBN-10: 0262081598
- ISBN-13: 978-0262081597
- Product Dimensions: 6 x 1.2 x 9 inches
- Shipping Weight: 1.8 pounds (View shipping rates and policies)
- Average Customer Review: 11 customer reviews
- Amazon Best Sellers Rank: #637,095 in Books (See Top 100 in Books)
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Robot Vision (MIT Electrical Engineering and Computer Science)
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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)
About the Author
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.
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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.
Horn does a great job of deriving and providing the equations you need, and brings it all together with excellent narrative and very good illustrations. The book goes all the way from the basics of image formation, to simple matrix operations such as edge detection, to some more advanced topics such as shape from shading. The final chapter, on picking parts out of a bin, uses the ideas developed in previous chapters to come up with the basic design of a robot hand-eye system that is capable of picking up specific parts from a parts bin. It really is a very good unifying capstone to the entire book. The only drawback I can see in the book is that it pretty much stays in the domain of continuous mathematics. There is not much in the way of explicit algorithm steps - the author expects the reader to be able to do that based on his explanation and equations, and given the high quality of the text this is really not too rash of an assumption.
Because of its age it doesn't have some of the more modern techniques and algorithms, but if I had to choose between this older book and that more recently published waste of trees, "Computer Vision: A Modern Approach", give me this book every time. You get a firm foundation in the basics, plus a good understanding of some more advanced topics too.