Quaternion correlation filters for illumination invariant face recognition

Authors:
Dayron Rizo-Rodriguez;Heydi Méndez-Vázquez;Edel García;César San Martín;Pablo Meza
Affiliations:
Advanced Technologies Application Center, Havana, Cuba;Advanced Technologies Application Center, Havana, Cuba;Advanced Technologies Application Center, Havana, Cuba;Center for Optics and Photonics, University of La Frontera, Temuco, Chile;Center for Optics and Photonics, University of Concepción, Concepción, Chile
Venue:
CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Year:
2011

Citing 7
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Abstract

Illumination variations is one of the factors that causes the degradation of face recognition systems performance. The representation of face image features using the structure of quaternion numbers is a novel way to alleviate the illumination effects on face images. In this paper a comparison of different quaternion representations, based on verification and identification experiments, is presented. Four different face features approaches are used to construct quaternion representations. A quaternion correlation filter is used as similarity measure, allowing to process together all the information encapsulated in quaternion components. The experiment results confirms that using quaternion algebra together with existing face recognition techniques permits to obtain more discriminative and illumination invariant methods.