A Comparison of Face/Non-face Classifiers

Most face detection algorithms can be divided into two subproblems, initial visual guidance and face/non-face classification. In this paper we propose an evaluation protocol for face/non-face classification and provide experimental comparison of six algorithms. The overall best performing algorithms are the baseline template matching algorithms. Our results emphasize the importance of preprocessing.