Face detection using generalised integral image features

Authors:
Alister Cordiner;Philip Ogunbona;Wanqing Li
Affiliations:
Digisensory Technologies, Sydney, Australia and Advanced Multimedia Research Lab, ICT Research Institute, University of Wollongong;Advanced Multimedia Research Lab, ICT Research Institute, University of Wollongong;Advanced Multimedia Research Lab, ICT Research Institute, University of Wollongong
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

This paper proposes generalised integral image features (GIIFs) for face detection. GIIFs provide a richer and more flexible set of features than Haar-like features. Due to the large set of possible GIIFs, a genetic algorithm is developed to select the feature space for the optimal weak classifiers. Experimental results have shown that this method is able to improve face detection accuracy.