Robot Vision (MIT Electrical Engineering and Computer Science) by Berthold Klaus Paul Horn (PDF)

Description

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.ContentsImage Formation and Image Sensing •Binary Images: Geometrical Properties; Topological Properties • Regions and Image Segmentation • Image Processing: Continuous Images; Discrete Images • Edges and Edge Finding • Lightness and Color • Reflectance Map: Photometric Stereo Reflectance Map; Shape from Shading • Motion Field and Optical Flow • Photogrammetry and Stereo • Pattern Classification • Polyhedral Objects • Extended Gaussian Images • Passive Navigation and Structure from Motion • Picking Parts out of a Bin

User’s Reviews

Editorial Reviews: Review 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 ScientistA 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 Review This book is an absolute must for any researcher claiming to be interested in computer vision.―Eric L. Grimson, Artificial Intelligence Laboratory, MIT 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. Read more

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐This book is good for those with strong mathematical background. The first few chapters are an easy read. The book lacks examples.

⭐This book is a classic, I knew what I was getting, mid 90’s mathmatical review of vision within robotic guidance technology. The impressive part of this order was the books condition New as advertised and the seller packed it well with easy to read address and return. Bottom line is Amazon provides a great service to a some high caliber providers of stuff we need and want. Well done by all.Dennis

⭐This book is very understandable. There’s a lot of math in it, but no computer code (in case that’s what you are looking for…). Good depth and good coverage

⭐It is a good reference for someone who already has some experience.

⭐This hard cover book is strong and stable, to carry around in your backpack. It contains the basic math of computer vision, and gives a integrated sense of the most major concepts of CV.

⭐just like a new book

⭐This book does a good job of introducing the readers to the basics of computer vision – it really has nothing to do with robots outside of the last chapter, other than if you build one and need to give it vision capabilities, you need to know the information in this book. Physics equations via calculus and ODE are used to describe how light intereacts with solid objects and also with image sensors, the latter tieing in to the subject of robot vision. Therefore, the reader should have a good knowledge of first-year university physics as well as multi-variable calculus. As a reference for the geometrical and physical mathematics of light interacting with surfaces and the camera, it is particularly excellent.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.

⭐If anyone wants to learn the basics of Computer Vision, this book must be the starting point. No other go.. This speaks of the exceptional treatment of the concepts in this classic book. I very strongly recommend this indispensible book to anyone who wants to learn Computer Vision.

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