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Proceedings Paper

Extracting facial features by an inhibitory mechanism based on gradient distributions
Author(s): Cheng-Chung Lin; Wei-Chung Lin
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Paper Abstract

The extraction of facial features is a fundamental and crucial step in most face detection and recognition systems. Here a set of approaches are proposed for extracting internal and external facial features in a grey-level images containing single or multiple faces of various sizes at different locations without any restriction on the background. These approaches are distinctive in several aspects: the use of some rarely exploited photometric properties as the basis for facial features extraction, a novel metrics on radial symmetry of gradient orientations, an inhibitory mechanism for extracting internal facial features, and a simple mechanism for external ones.

Paper Details

Date Published: 18 August 1995
PDF: 12 pages
Proc. SPIE 2622, Optical Engineering Midwest '95, (18 August 1995); doi: 10.1117/12.216860
Show Author Affiliations
Cheng-Chung Lin, Northwestern Univ. (United States)
Wei-Chung Lin, Northwestern Univ. (United States)

Published in SPIE Proceedings Vol. 2622:
Optical Engineering Midwest '95
Rudolph P. Guzik, Editor(s)

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