Face detection using generalised integral image features

Authors

Alister Cordiner, Digisensory Technologies SydneyFollow
Philip Ogunbona, University of WollongongFollow
Wanqing Li, University of WollongongFollow

RIS ID

32108

Publication Details

Cordiner, A., Ogunbona, P. & Li, W. (2009). Face detection using generalised integral image features. International Conference on Image Processing (pp. 1229-1232). Cairo, Eygpt: IEEE.

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.