Combining shape regression model and isophotes curvature information for eye center localization

The localization of eye centers technique is used in several applications. In this paper, we combine the face shape model to eye center location method to obtaining robustness in eye center localization from a low-resolution image. We make use of shape regression approach and combine it to the eye-center localization using isophote curvature features which has shown its advantage from previous work. In the experiments, we use BioID datasets to test our approach for accurate eye center location and robustness to changes in illumination and pose. We demonstrate that our approach can achieve an improvement of the robustness of eye center localization while the accuracy at eye center localization e≤0.1 and e≤0.15 have achieve 0.918 and 0.977 respectively.