Combining Template-based and Feature-based Face Detectors

R. Cappelli, A. Franco, D. Maltoni, and L. Nanni (Italy)

Keywords

Face detection, template matching, multipleclassifiers,Fisher classifier, OneClass SVM.

Abstract

In this work we present the preliminary results of a face detection system based on an hybrid approach: it combines typical feature-based techniques with image-based analysis, in order to better exploit the main characteristics available in the input image. Different modules contribute to the face detection task: 1) a template-based approach initially proposed in [9], 2) an image-based analysis specifically designed to discard false positives, and 3) multiple-classifiers specifically designed to detect faces. The experimental results show that the new approach is able to achieve an accuracy better than previously reported on a face database with complex backgrounds.

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