Robust Real-Time Face Detection Using Face Certainty Map

In this paper, we present a robust real-time face detection algorithm. We improved the conventional face detection algorithms for three different steps. For preprocessing step, we revise the modified census transform to compensate the sensitivity to the change of pixel values. For face detection step, we propose difference of pyramid(DoP) images for fast face detection. Finally, for postprocessing step, we propose face certainty map(FCM) which contains facial information such as facial size, location, rotation, and confidence value to reduce FAR(False Acceptance Rate) with constant detection performance. The experimental results show that the reduction of FAR is ten times better than existing cascade adaboost detector while keeping detection rate and detection time almost the same.

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