Abstract
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.
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Hjelmås, E., Farup, I. (2001). A Comparison of Face/Non-face Classiffiers. In: Bigun, J., Smeraldi, F. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2001. Lecture Notes in Computer Science, vol 2091. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45344-X_10
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DOI: https://doi.org/10.1007/3-540-45344-X_10
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