14 June 1996 Fuzzy approach to object recognition
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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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qiang Meng, Wiley E. Thompson, Gerald M. Flachs, Jay B. Jordan, "Fuzzy approach to object recognition", Proc. SPIE 2755, Signal Processing, Sensor Fusion, and Target Recognition V, (14 June 1996); doi: 10.1117/12.243185; https://doi.org/10.1117/12.243185

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