Extracting facial features by an inhibitory mechanism based on gradient distributions

Cheng-Chung Lin; Wei-Chung Lin

doi:10.1117/12.216860

18 August 1995 Extracting facial features by an inhibitory mechanism based on gradient distributions

Cheng-Chung Lin, Wei-Chung Lin

Proceedings Volume 2622, Optical Engineering Midwest '95; (1995) https://doi.org/10.1117/12.216860
Event: Optical Engineering Midwest '95, 1995, Chicago, IL, United States

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.

Citation Download Citation

Cheng-Chung Lin and Wei-Chung Lin "Extracting facial features by an inhibitory mechanism based on gradient distributions", Proc. SPIE 2622, Optical Engineering Midwest '95, (18 August 1995); https://doi.org/10.1117/12.216860

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