Inner and Outer Eye Corners Detection for Facial Features Extraction Based on CTGF Algorithm

Ran Zhou; Qing He; Jie Wu; Chao Hu; Q. H. Meng

doi:10.4028/www.scientific.net/AMM.58-60.1966

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 58-60Inner and Outer Eye Corners Detection for Facial...

Inner and Outer Eye Corners Detection for Facial Features Extraction Based on CTGF Algorithm

Abstract:

This paper proposes a novel inner and outer eye corners detection method, which inosculates corner, regional texture and gray information, called CTGF algorithm. It utilizes corner detector to determine the candidate points of eye corners, such as Harris. Next, the region texture information is obtained through polar coordinate integral, in order to locate the exactly positions of eye corners among the candidate points. The CTGF algorithm provides a precise and reliable facial feature for many computer vision applications and the robustness and accuracy are demonstrated in experiments.

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Periodical:

Applied Mechanics and Materials (Volumes 58-60)

Pages:

1966-1971

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.58-60.1966

Citation:

Cite this paper

Online since:

June 2011

Authors:

Ran Zhou, Qing He, Jie Wu, Chao Hu, Q. H. Meng

Keywords:

CTGF, Detection, Harris Operator, Inner Eye Corner, Outer Eye Corner, Region Texture Information

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