Information Theoretic View-Based and Modular Face Detection

This paper describes information theoretic methods for the determination of the optimal subset of pixels for the problem of face detection in complex backgrounds. A view-based method is described, which has limitations due to misalignments. This motivates the modular feature based method which minimizes the misalignment problem. Empirical comparisons between the viewbased, modular, and sum of squared difference methods are made using four databases from three universities.