A hybrid technique for facial feature point detection

M. Gargesha; Sethuraman Panchanathan

doi:10.1109/IAI.2002.999905

A hybrid technique for facial feature point detection

M. Gargesha, Sethuraman Panchanathan

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

21 Scopus citations

Abstract

Existing techniques for facial feature point detection from color images include template matching, facial geometry and symmetry analysis, mathematical morphology, luminance and chrominance analysis, and PCA. However, these techniques are plagued by poor performance in the presence of scale variations. In this paper, a hybrid technique is proposed that employs a combination of the above approaches along with curvature analysis of the intensity surface of the face image in order to provide a superior performance with reduced computational complexity, even in the presence of scale variations.

Original language	English (US)
Title of host publication	Proceedings - 5th IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2002
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	134-138
Number of pages	5
Volume	2002-January
ISBN (Electronic)	0769515371
DOIs	https://doi.org/10.1109/IAI.2002.999905
State	Published - 2002
Event	5th IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2002 - Santa Fe, United States Duration: Apr 7 2002 → Apr 9 2002

Other

Other	5th IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2002
Country	United States
City	Santa Fe
Period	4/7/02 → 4/9/02

Keywords

Computational complexity
Eyes
Face detection
Facial features
Image analysis
Image color analysis
Image edge detection
Nose
Performance analysis
Principal component analysis

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Computer Science Applications

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A hybrid technique for facial feature point detection. / Gargesha, M.; Panchanathan, Sethuraman.

Proceedings - 5th IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2002. Vol. 2002-January Institute of Electrical and Electronics Engineers Inc., 2002. p. 134-138 999905.

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

Gargesha, M & Panchanathan, S 2002, A hybrid technique for facial feature point detection. in Proceedings - 5th IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2002. vol. 2002-January, 999905, Institute of Electrical and Electronics Engineers Inc., pp. 134-138, 5th IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2002, Santa Fe, United States, 4/7/02. https://doi.org/10.1109/IAI.2002.999905

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abstract = "Existing techniques for facial feature point detection from color images include template matching, facial geometry and symmetry analysis, mathematical morphology, luminance and chrominance analysis, and PCA. However, these techniques are plagued by poor performance in the presence of scale variations. In this paper, a hybrid technique is proposed that employs a combination of the above approaches along with curvature analysis of the intensity surface of the face image in order to provide a superior performance with reduced computational complexity, even in the presence of scale variations.",

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language = "English (US)",

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AB - Existing techniques for facial feature point detection from color images include template matching, facial geometry and symmetry analysis, mathematical morphology, luminance and chrominance analysis, and PCA. However, these techniques are plagued by poor performance in the presence of scale variations. In this paper, a hybrid technique is proposed that employs a combination of the above approaches along with curvature analysis of the intensity surface of the face image in order to provide a superior performance with reduced computational complexity, even in the presence of scale variations.

KW - Computational complexity

KW - Eyes

KW - Face detection

KW - Facial features

KW - Image analysis

KW - Image color analysis

KW - Image edge detection

KW - Nose

KW - Performance analysis

KW - Principal component analysis

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BT - Proceedings - 5th IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2002

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ER -

A hybrid technique for facial feature point detection

Abstract

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Keywords

ASJC Scopus subject areas

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