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Journal article
GRUFF 3: Generalizing the domain of a function-based recognition system
Pattern Recognition, Vol.27, pp.1743-1766
27
1994
Web of Science ID: WOS:A1994QB93700014
Abstract
Representation systems which support "generic" object recognition offer promising advantages over current model-based vision. Systems applying function-based reasoning are one such approach. In this approach, specific geometric or structural models are disregarded, in favor of analyzing the shape to determine functional requirements for category membership. This paper presents an explanation of the ideas behind function-based modeling and a description of the extensions made to create the Generic Representation Using Form and Function-3 (GRUFF-3) system. This system analyzes the JD shape of an object and classifies the object according to its possible function as some (sub) category of the superordinate category "dishes." The initial GRUFF system implementation was restricted to the "furniture" domain and required five knowledge primitives (clearance, relative orientation, proximity, dimensions, and stability) to realize the functional requirements of the categories represented. The important contribution of our current work is that a significantly larger domain of objects can now be recognized with the addition of just one new knowledge - primitive enclosure. An evaluation of the performance of the system is presented for a database of over 200 3D shapes.
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Details
- Title
- GRUFF 3: Generalizing the domain of a function-based recognition system
- Publication Details
- Pattern Recognition, Vol.27, pp.1743-1766
- Resource Type
- Journal article
- Publisher
- Elsevier Science Ltd; Great Britain
- Series
- 27
- Grant note
- This research was supported by AFOSR grant F49620-92-J-0223, NSF grant IRI-9120895, and a NASA Florida Space Grant Consortium graduate fellowship.
- Copyright
- © 1994 Pattern Recognition Society
- Identifiers
- WOS:A1994QB93700014; 99380090615106600
- Academic Unit
- Public Health; Usha Kundu, MD College of Health
- Language
- English