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Proceedings Paper

Investigation of methods of combining functional evidence for 3-D object recognition
Author(s): Louise Stark; Lawrence O. Hall; Kevin W. Bowyer
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Paper Abstract

A recognition system which represents object categories by properties which can he deduced by analysis of 3-D shape has been implemented and tested using the category " chair" for case study. Functional description is used to recognize classes and identify subclasses of known categories of objects even if the specific object has never been encountered previously. Interpretation of the functionality of an object is accomplished through qualitative reasoning about its shape. This is to our knowledge the first implemented system to explore the use of purely function-based representation (that is no geometric or structural object model) to recognize 3-D objects. During the recognition process evidence is gathered as to how well the functional requirements are met by the Input structure. This paper is concerned with choosing the type of operators that will be used in the combination or accrual of the functional evidence. Three pairs of conjunctive and disjunctive operators aie evaluated. Each pair is uSe(i in the recognition process of the 100+ test objects. The results of all tests run are compared and diffeieiices are discussed.

Paper Details

Date Published: 1 February 1991
PDF: 12 pages
Proc. SPIE 1381, Intelligent Robots and Computer Vision IX: Algorithms and Techniques, (1 February 1991); doi: 10.1117/12.25165
Show Author Affiliations
Louise Stark, Univ. of South Florida (United States)
Lawrence O. Hall, Univ. of South Florida (United States)
Kevin W. Bowyer, Univ. of South Florida (United States)

Published in SPIE Proceedings Vol. 1381:
Intelligent Robots and Computer Vision IX: Algorithms and Techniques
David P. Casasent, Editor(s)

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