An edge-based face detection algorithm robust against illumination, focus, and scale variations

A face detection algorithm very robust against illumination, focus and scale variations in input images has been developed based on the edge-based image representation. The multiple-clue face detection algorithm developed in our previous work has been employed in conjunction with a new decision criterion called “density rule,” where only high density clusters of detected face candidates are retained as faces. As a result, the occurrence of false negatives has been greatly reduced. The robustness of the algorithm against circumstance variations has been demonstrated.

[1]  Takeo Kanade,et al.  Neural Network-Based Face Detection , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Tadashi Shibata,et al.  Multiple-clue face detection algorithm using edge-based feature vectors , 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[3]  Tadashi Shibata,et al.  Human-perception-like image recognition system based on the Associative Processor architecture , 2002, 2002 11th European Signal Processing Conference.

[4]  Tadashi Shibata,et al.  Analog Soft-Pattern-Matching Classifier using Floating-Gate MOS Technology , 2001, NIPS.

[5]  Tadashi Shibata,et al.  An image representation algorithm compatible with neural-associative-processor-based hardware recognition systems , 2003, IEEE Trans. Neural Networks.

[6]  Chengjun Liu,et al.  Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition , 2002, IEEE Trans. Image Process..

[7]  Tomaso A. Poggio,et al.  Example-Based Learning for View-Based Human Face Detection , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Hong Yan,et al.  Automatic human face detection and recognition under non-uniform illumination , 1999, Pattern Recognit..

[9]  T. Shibata,et al.  A general-purpose vector-quantization processor employing two-dimensional bit-propagating winner-take-all , 2002, 2002 Symposium on VLSI Circuits. Digest of Technical Papers (Cat. No.02CH37302).

[10]  Tadashi Shibata,et al.  A hardware-friendly soft-computing algorithm for image recognition , 2000, 2000 10th European Signal Processing Conference.