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World Scientific Publishing, International Journal of Pattern Recognition and Artificial Intelligence, 03(23), p. 359-377

DOI: 10.1142/s0218001409007259

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Precise Eye and Mouth Localization

Journal article published in 2009 by P. Campadelli, R. Lanzarotti ORCID, G. Lipori
This paper is available in a repository.
This paper is available in a repository.

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Abstract

The literature on the topic has shown a strong correlation between the degree of precision of face localization and the face recognition performance. Hence, there is a need for precise facial feature detectors, as well as objective measures for their evaluation and comparison. In this paper, we will present significant improvements to a previous method for precise eye center localization, by integrating a module for mouth localization. The technique is based on Support Vector Machines trained on optimally chosen Haar wavelet coefficients. The method has been tested on several public databases; the results are reported and compared according to a standard error measure. The tests show that the algorithm achieves high precision of localization.