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Rotated Haar-Like Features for Face Detection with In-Plane Rotation

  • Shaoyi Du
  • Nanning Zheng
  • Qubo You
  • Yang Wu
  • Maojun Yuan
  • Jingjun Wu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4270)

Abstract

This paper extends the upright face detection framework proposed by Viola et al. 2001 to handle in-plane rotated faces. These haar-like features work inefficiently on rotated faces, so this paper proposes a new set of ±26.565 ° haar-like features which can be calculated quickly to represent the features of rotated faces. Unlike previous face detection techniques in training quantities of samples to build different rotated detectors, with these new features, we address to build different rotated detectors by rotating an upright face detector directly so as to achieve in-plane rotated face detection. This approach is selected because of its computational efficiency, simplicity and training time saving. This proposed method is tested on CMU-MIT rotated test data and yields good results in accuracy and maintains speed advantage.

Keywords

Face Detection Integral Image Upright Face Cascade Detector Rapid Object Detection 
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 2006

Authors and Affiliations

  • Shaoyi Du
    • 1
  • Nanning Zheng
    • 1
  • Qubo You
    • 1
  • Yang Wu
    • 1
  • Maojun Yuan
    • 1
  • Jingjun Wu
    • 1
  1. 1.Institute of Artificial Intelligence and RoboticsXi’an jiaotong UniversityXi’anP.R. China

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