Robust 3D Face Recognition. In: Electrotechnical Review, 79 (1-2), pp. 1-6, 2012.
Abstract
Face recognition in uncontrolled environments is hindered by variations in illumination, pose, expression and occlusions of faces. Many practical face-recognition systems are affected by these variations. One way to increase the robustness to illumination and pose variations is to use 3D facial images. In this paper 3D face-recognition systems are presented. Their structure and operation are described. The robustness of such systems to variations in uncontrolled environments is emphasized. We present some preliminary results of a system developed in our laboratory.
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@article{Kri\v{z}aj-EV-2012,
title = {Robust 3D Face Recognition},
author = {Janez Kri\v{z}aj and Vitomir \v{S}truc and Simon Dobri\v{s}ek},
url = {http://luks.fe.uni-lj.si/nluks/wp-content/uploads/2016/09/KrizajEV.pdf},
year = {2012},
date = {2012-06-01},
journal = {Electrotechnical Review},
volume = {79},
number = {1-2},
pages = {1-6},
abstract = {Face recognition in uncontrolled environments is hindered by variations in illumination, pose, expression and occlusions of faces. Many practical face-recognition systems are affected by these variations. One way to increase the robustness to illumination and pose variations is to use 3D facial images. In this paper 3D face-recognition systems are presented. Their structure and operation are described. The robustness of such systems to variations in uncontrolled environments is emphasized. We present some preliminary results of a system developed in our laboratory.},
keywords = {3d face recognition, biometrics, gaussian mixture models, GMM, modeling},
pubstate = {published},
tppubtype = {article}
}