Robot Vision

Robot Vision

by Berthold K.P. Horn

Paperback

$19.75

Overview


This book presents a coherent approach to the fast-moving field of computer 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 is 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.

Chapters in the first part of the book emphasize the development of simple symbolic descriptions from images, while the remaining chapters deal with methods that exploit these descriptions. The final chapter offers a detailed description of how to integrate a vision system into an overall robotics system, in this case one designed to pick parts out of a bin.

The many exercises complement and extend the material in the text, and an extensive bibliography will serve as a useful guide to current research.

Errata (164k PDF)


Product Details

ISBN-13: 9780262537377
Publisher: MIT Press
Publication date: 03/13/1986
Series: MIT Electrical Engineering and Computer Science
Pages: 522
Product dimensions: 6.00(w) x 9.00(h) x 0.88(d)
Age Range: 18 Years

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.

Table of Contents

1 Introduction
2 Image Formation and Image Sensing
3 Binary Images Geometrical Properties
4 Regions and Images Topological Properties
5 Regions and Images Segmentation
6 Image Processing Continuations Images
7 Images Processing Discrete
8 Edges and Edge Finding
9 Lightness and Color
10 Reflectance Map Shape from Shading
11 Motion Field and Optical Flow
12 Photogrammetry and Stereo
13 Pattern Classification
14 Polyhedral Objects
15 Extended Gaussian Images
16 Passive Navigation and Structure from Motion
17 Picking Parts Out of a Bin

What People are Saying About This

Al Bovik

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.

Alan K. Mackworth

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!

Eric L. Grimson

This book is an absolute must for any researcher claiming to be interested in computer vision.

Endorsement

This book is an absolute must for any researcher claiming to be interested in computer vision.

Eric L. Grimson, Artificial Intelligence Laboratory, MIT

From the Publisher

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

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