Inner and Outer Eye Corners Detection for Facial Features Extraction Based on CTGF Algorithm
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.
R. Zhou et al., "Inner and Outer Eye Corners Detection for Facial Features Extraction Based on CTGF Algorithm", Applied Mechanics and Materials, Vols. 58-60, pp. 1966-1971, 2011