Highly Efficient Face Detection in Color Images

A highly efficient algorithm for image-based face detection is proposed in this paper, whose features include a fast and regular search method, a local histogram equalization of face candidates, and a frontal face classifier. Experimental results show that the proposed algorithm works efficiently with different types of images. Besides, the average detection rate is 92%, and the required execution time is about 90ms/frame.

[1]  T. Kuroda,et al.  A 0.79-${\hbox {mm}}^{2}$ 29-mW Real-Time Face Detection Core , 2007, IEEE Journal of Solid-State Circuits.

[2]  Shou-Chieh Hsu,et al.  Automatic Feature-Based Face Scoring in Surveillance Systems , 2007, ISM 2007.

[3]  Shao-Yi Chien,et al.  Efficient Face Detection with Segmentation and Feature-based Face Scoring in Surveillance Systems , 2007, 2007 IEEE 9th Workshop on Multimedia Signal Processing.

[4]  Mohamed Abid,et al.  Design of a Neural Networks Classifier for Face Detection , 2006, WEC.

[5]  Narayanan Vijaykrishnan,et al.  Embedded hardware face detection , 2004, 17th International Conference on VLSI Design. Proceedings..

[6]  Chang-Tsun Li,et al.  Skin Colour-Based Face Detection in Colour Images , 2006, 2006 IEEE International Conference on Video and Signal Based Surveillance.

[7]  M. Pawlewski,et al.  Face detection in colour images , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[8]  Anil K. Jain,et al.  Face Detection in Color Images , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  Dario Maio,et al.  Real-time face location on gray-scale static images , 2000, Pattern Recognition.

[10]  Paul A. Viola,et al.  Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.