Robust and Efficient Eye Location and Its State Detection

Authors:
Rui Sun;Zheng Ma
Affiliations:
University of Electronic Science and Technology of China Zhongshan Institue, China;University of Electronic Science and Technology of China Zhongshan Institue, China
Venue:
ISICA '09 Proceedings of the 4th International Symposium on Advances in Computation and Intelligence
Year:
2009

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Abstract

This paper proposes a robust and efficient eye state detection method based on an improved algorithm called LBP+SVM mode. LBP (local binary pattern) methodology is first used to select the two groups of candidates from a whole face image. Then corresponding SVMs (supporting vector machine) are employed to verify the real eye and its state. The LBP methodology makes it robust against rotation, illumination and occlusion to find the candidates, and the SVM helps to make the final verification correct.