Face detection is a mature problem in computer vision. While diverse high performing face detectors have been proposed in the past, we present two surprising new top performance results. First, we show that a properly trained vanilla DPM reaches top performance, improving over commercial and research systems. Second, we show that a detector based on rigid templates - similar in structure to the Viola&Jones detector - can reach similar top performance on this task. Importantly, we discuss issues with existing evaluation benchmark and propose an improved procedure. © 2014 Springer International Publishing.
CITATION STYLE
Mathias, M., Benenson, R., Pedersoli, M., & Van Gool, L. (2014). Face detection without bells and whistles. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8692 LNCS, pp. 720–735). Springer Verlag. https://doi.org/10.1007/978-3-319-10593-2_47
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