Giovani Chiachia bio photo

Giovani Chiachia

The 2013 Face Recognition Evaluation in Mobile Environment

Abstract : Automatic face recognition in unconstrained environments is a challenging task. To test current trends in face recognition algorithms, we organized an evaluation on face recognition in mobile environment. This paper presents the results of 8 different participants using two verification metrics. Most submitted algorithms rely on one or more of three types of features: local binary patterns, Gabor wavelet responses including Gabor phases, and color information. The best results are obtained from UNILJ-ALP, which fused several image representations and feature types, and UC-HU, which learns optimal features with a convolutional neural network. Additionally, we assess the usability of the algorithms in mobile devices with limited resources.

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Manuel Gunther, Artur Costa-Pazo, Changxing Ding, Elhocine Boutellaa, Giovani Chiachia, et al, IEEE International Conference on Biometrics (ICB), 2013