Robust Real-Time Face Detection Using Face Certainty Map

  • Bongjin Jun
  • Daijin Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4642)

Abstract

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.

Keywords

Face Image Face Detection False Acceptance Rate Pyramid Image Scanning Window 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Bongjin Jun
    • 1
  • Daijin Kim
    • 1
  1. 1.Department of Computer Science and Engineering, Pohang University of Science and Technology 

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