Extracting facial features by an inhibitory mechanism based on gradient distributions

Cheng Chung Lin; Wei Chung Lin

doi:10.1117/12.216860

Extracting facial features by an inhibitory mechanism based on gradient distributions

Cheng Chung Lin^*, Wei Chung Lin

^*Corresponding author for this work

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering
Publisher	Society of Photo-Optical Instrumentation Engineers
Pages	640-651
Number of pages	12
Volume	2622
Edition	2
ISBN (Print)	0819419869, 9780819419866
DOIs	https://doi.org/10.1117/12.216860
State	Published - 1995
Event	Optical Engineering Midwest'95. Part 2 (of 2) - Chicago, IL, USA Duration: May 18 1995 → May 19 1995

Other

Other	Optical Engineering Midwest'95. Part 2 (of 2)
City	Chicago, IL, USA
Period	5/18/95 → 5/19/95

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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10.1117/12.216860

Cite this

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title = "Extracting facial features by an inhibitory mechanism based on gradient distributions",

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.",

author = "Lin, {Cheng Chung} and Lin, {Wei Chung}",

year = "1995",

doi = "10.1117/12.216860",

language = "English (US)",

isbn = "0819419869",

volume = "2622",

pages = "640--651",

booktitle = "Proceedings of SPIE - The International Society for Optical Engineering",

publisher = "Society of Photo-Optical Instrumentation Engineers",

edition = "2",

}

Lin, CC & Lin, WC 1995, Extracting facial features by an inhibitory mechanism based on gradient distributions. in Proceedings of SPIE - The International Society for Optical Engineering. 2 edn, vol. 2622, Society of Photo-Optical Instrumentation Engineers, pp. 640-651, Optical Engineering Midwest'95. Part 2 (of 2), Chicago, IL, USA, 5/18/95. https://doi.org/10.1117/12.216860

Extracting facial features by an inhibitory mechanism based on gradient distributions. / Lin, Cheng Chung; Lin, Wei Chung.
Proceedings of SPIE - The International Society for Optical Engineering. Vol. 2622 2. ed. Society of Photo-Optical Instrumentation Engineers, 1995. p. 640-651.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Extracting facial features by an inhibitory mechanism based on gradient distributions

AU - Lin, Cheng Chung

AU - Lin, Wei Chung

PY - 1995

Y1 - 1995

N2 - 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.

AB - 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.

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DO - 10.1117/12.216860

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SN - 9780819419866

VL - 2622

SP - 640

EP - 651

BT - Proceedings of SPIE - The International Society for Optical Engineering

PB - Society of Photo-Optical Instrumentation Engineers

T2 - Optical Engineering Midwest'95. Part 2 (of 2)

Y2 - 18 May 1995 through 19 May 1995

ER -

Extracting facial features by an inhibitory mechanism based on gradient distributions

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