@inproceedings{b8f4e28817f348a0a2f98de7823e1e17,
title = "Boosting 3D LBP-based face recognition by fusing shape and texture descriptors on the mesh",
abstract = "In this paper, we present a novel approach for fusing shape and texture local binary patterns (LBP) for 3D face recognition. Using the framework proposed in [1], we compute LBP directly on the face mesh surface, then we construct a grid of the regions on the facial surface that can accommodate global and partial descriptions. Compared to its depth-image counterpart, our approach is distinguished by the following features: a) inherits the intrinsic advantages of mesh surface; b) does not require normalization; c) can accommodate partial matching. In addition, it allows early-level fusion of texture and shape modalities. Through experiments conducted on the BU-3DFE and Bosphorus databases, we assess different variants of our approach with regard to facial expressions and missing data.",
keywords = "3D face recognition, fusion, mesh-LBP",
author = "Claudio Tortorici and Naoufel Werghi and Stefano Berretti",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Conference on Image Processing, ICIP 2015 ; Conference date: 27-09-2015 Through 30-09-2015",
year = "2015",
month = dec,
day = "9",
doi = "10.1109/ICIP.2015.7351287",
language = "British English",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "2670--2674",
booktitle = "2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings",
address = "United States",
}