Face detection without bells and whistles

author: Markus Mathias, Department of Electrical Engineering, KU Leuven
published: Oct. 29, 2014,   recorded: September 2014,   views: 1058
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Description

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.

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Download slides icon Download slides: eccv2014_mathias_face_detection_01.pdf (6.9┬áMB)


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