Robust and precise eye detection based on locally selective projection

This paper proposes a robust and precise eye detection method based on a new projection algorithm called locally selective projection (LSP). Along each projection axis, LSP selects a pixel and uses a function calculated in the neighborhood of the pixel as response. The local selectivity of LSP makes it robust against rotation, illumination and occlusion. Moreover, the positions of selected pixels can be recorded, providing a 2D cue for image analysis. We apply LSP to eye detection. The vertical and horizontal LSPs are first used to give reliable eye candidates, then a SVM classifier is employed to verify the real eye pairs. The experiment result compared with an AdaBoost detector shows the robustness and accuracy of proposed method.