A simple 3d edge template for pose invariant face detection

Authors:
Stephen Karungaru;Minoru Fukumi;Norio Akamatsu;Takuya Akashi
Affiliations:
University of Tokushima, Tokushima, Japan;University of Tokushima, Tokushima, Japan;University of Tokushima, Tokushima, Japan;Yamaguchi University, Yamaguchi, Japan
Venue:
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Year:
2006

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Abstract

In this paper, a simple 3D edge based template for pose invariant face detection creation using side and front profiles of a general face is proposed. The 3D template is created using the edges that are always most likely to be extracted from a face given a certain pose. Bezier curves are used to create the template. When testing the template, genetic algorithms are used to guide the matching process thereby greatly reducing the total computation time required. The genetic algorithm automatically calculates the angle and the size of the template during the matching. An average pose invariant face detection accuracy of 84.6% was achieved.