28 September 2016 Face recognition based on matching of local features on 3D dynamic range sequences
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Abstract
3D face recognition has attracted attention in the last decade due to improvement of technology of 3D image acquisition and its wide range of applications such as access control, surveillance, human-computer interaction and biometric identification systems. Most research on 3D face recognition has focused on analysis of 3D still data. In this work, a new method for face recognition using dynamic 3D range sequences is proposed. Experimental results are presented and discussed using 3D sequences in the presence of pose variation. The performance of the proposed method is compared with that of conventional face recognition algorithms based on descriptors.
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B. Adriana Echeagaray-Patrón, B. Adriana Echeagaray-Patrón, Vitaly Kober, Vitaly Kober, } "Face recognition based on matching of local features on 3D dynamic range sequences", Proc. SPIE 9971, Applications of Digital Image Processing XXXIX, 997131 (28 September 2016); doi: 10.1117/12.2236355; https://doi.org/10.1117/12.2236355
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