Generic Object Recognition Using Form And Function

By: Louise Stark (Editor), Kevin Bowyer (Editor)

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Hardcover | 1 February 1996

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Hardcover
152 Pages

Dimensions(cm)
23.5 x 16.51 x 1.27

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This monograph provides a detailed record of the "GRUFF" research project. The goal of the GRUFF project is to develop techniques for robotic vision systems to recognize objects by reasoning about their intended function rather than matching to a pre-defined database of 2-D object appearances or 3-D object shapes. The contributions of this work are: a demonstration of the feasibility of the "form and function" approach to reasoning about 3-D shapes; a demonstration of the concept of using a small number of knowledge primitives as component building blocks in creating a function-based definition of an object category; and an indexing mechanism to make processing for recognition more efficient without any substantial decrease in correctness of classification. Results are given for the analysis of over 500 3-D shape descriptions created with a solid modelling tool and over 200 shape descriptions extracted from real laser range finder images.

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Preface
Acknowledgements
Introduction	p. 1
Related Work	p. 7
The "Knowledge Primitives"	p. 17
The Functional Properties	p. 27
THe "Category Definition Tree"	p. 33
The Function-Based Analysis Process	p. 41
Recognition Results for Complete 3-D Shapes	p. 61
Function-Based Analysis using Partial Shape	p. 67
Reasoning About Articulated Shapes	p. 81
Planned Interactions to Verify Functionality	p. 109
Future Directions	p. 125
References	p. 127
Index	p. 134
Table of Contents provided by Blackwell. All Rights Reserved.

Generic Object Recognition Using Form And Function

At a Glance

Hardcover

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