Extracting facial features by an inhibitory mechanism based on gradient distributions

Cheng-Chung Lin*, Wei Chung Lin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Pages640-651
Number of pages12
Edition2
DOIs
StatePublished - 1 Dec 1995
EventOptical Engineering Midwest'95. Part 2 (of 2) - Chicago, IL, USA
Duration: 18 May 199519 May 1995

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Number2
Volume2622
ISSN (Print)0277-786X

Conference

ConferenceOptical Engineering Midwest'95. Part 2 (of 2)
CityChicago, IL, USA
Period18/05/9519/05/95

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  • Cite this

    Lin, C-C., & Lin, W. C. (1995). Extracting facial features by an inhibitory mechanism based on gradient distributions. In Proceedings of SPIE - The International Society for Optical Engineering (2 ed., pp. 640-651). (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 2622, No. 2). https://doi.org/10.1117/12.216860