Face Recognition: Features Versus Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Information Theory and Face Detection
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
Face Detection and Facial Feature Extraction Using Color, Shape and Symmetry-Based Cost Functions
ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume III-Volume 7276 - Volume 7276
CEC '02 Proceedings of the Evolutionary Computation on 2002. CEC '02. Proceedings of the 2002 Congress - Volume 02
A hierarchical neural network for human face detection
Pattern Recognition
Learning and optimization using the clonal selection principle
IEEE Transactions on Evolutionary Computation
A novel genetic algorithm based on immunity
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A review of clonal selection algorithm and its applications
Artificial Intelligence Review
Face recognition by searching most similar sample with immune learning
ICARIS'12 Proceedings of the 11th international conference on Artificial Immune Systems
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Based on the Antibody Clonal Selection Theory of immunology, we put forward a novel clonal selection algorithm and apply it into face detection problem, named by CSAFD. The new detector is fast and reliable, which can detect faces with different sizes and various poses from both indoor and outdoor scenes. The goal of this research is to detect all regions that may contain faces while remaining a low false positive output rate. The new algorithm firstly abstracts the face template and then realizes the precise location of the face using clonal selection algorithm and template matching. When compared with immune genetic algorithm, standard genetic algorithm and evolutional genetic algorithm, the experimental results on images with moderately complex background scene showed, the new algorithm had a good performance and was much more accurate and robust.