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Generic Face Detection and Pose Estimation Algorithm Suitable for the Face De-identification Problem

  • Aleksandar Milchevski
  • Dijana Petrovska-Delacrétaz
  • Dejan Gjorgjevikj
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 399)

Abstract

In this work we tackle the problem of face de-identification in an image. The first step towards a solution to this problem is the design of a successful generic face detection algorithm, which will detect all of the faces in the image or video, regardless of the pose. If the face detection algorithm fails to detect even one face, the effect of the de-identification algorithm could be neutralized. That is why a novel face detection algorithm is proposed for face detection and pose estimation. The algorithm uses an ensemble of three linear SVM classifiers. The first, second and the third SVM classifier estimate the pitch, yaw and roll angle of the face and a logistic regression is used to combine the results and output a final decision. Second, the results of the face detection and a simple space variant de-identification algorithm are used to show the benefits of simultaneous face detection and face de-identification.

Keywords

De-identification Nonfrontal face detection Pose estimation Classifier fusion SVM Logistic regression 

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Copyright information

© Springer International Publishing Switzerland 2016

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Authors and Affiliations

  • Aleksandar Milchevski
    • 1
  • Dijana Petrovska-Delacrétaz
    • 2
  • Dejan Gjorgjevikj
    • 3
  1. 1.Faculty of Electrical Engineering and Information TechnologiesSkopjeRepublic of Macedonia
  2. 2.TELECOM SudParisÉvryFrance
  3. 3.Faculty of Computer Science and EngineeringSkopjeRepublic of Macedonia

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