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Proceedings Paper

Fuzzy approach to object recognition
Author(s): Qiang Meng; Wiley E. Thompson; Gerald M. Flachs; Jay B. Jordan
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Paper Abstract

Certain effective object recognition schemes involve the location of various distinguishing object components, extraction of component features, and the recognition based on these features. For certain classes of object recognition problems, a critical part is the automatic location of the object components. A common method for locating the object components involves the correlation of point to point or area to area. This correlation procedure can be relatively computationally expensive. This paper develops a fast, stable fuzzy approach for locating object components. The effectiveness of the approach is illustrated by an application to the human face recognition problem.

Paper Details

Date Published: 14 June 1996
PDF: 12 pages
Proc. SPIE 2755, Signal Processing, Sensor Fusion, and Target Recognition V, (14 June 1996); doi: 10.1117/12.243185
Show Author Affiliations
Qiang Meng, New Mexico State Univ. (United States)
Wiley E. Thompson, New Mexico State Univ. (United States)
Gerald M. Flachs, New Mexico State Univ. (United States)
Jay B. Jordan, New Mexico State Univ. (United States)


Published in SPIE Proceedings Vol. 2755:
Signal Processing, Sensor Fusion, and Target Recognition V
Ivan Kadar; Vibeke Libby, Editor(s)

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