@inproceedings{3d5aaf7639204f1e9b132b8a02e9f130,
title = "Early features fusion over 3D face for face recognition",
abstract = "In this paper, a novel approach for fusing shape and texture Local Binary Patterns (LBP) for 3D Face Recognition is presented. Using the recently proposed mesh-LBP [23], it is now possible to compute LBP directly on a mesh manifold, allowing Early Feature Fusion to enhance face description power. Compared to its depth image counterparts, the proposed method (a) inherits the intrinsic advantages of mesh surfaces, (such as preservation of full geometry), (b) does not require face registration, (c) can accommodate partial or rotation matching, and (d) natively allows early-level fusion of texture and shape descriptors. The advantages of early-fusion is presented together with an experimentation of two merging schemes tested on the Bosphorus database.",
keywords = "3D face recognition, Early feature-fusion, LBP, Local Binary Pattern",
author = "Claudio Tortorici and Naoufel Werghi",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 6th International Workshop on Representations, Analysis and Recognition of Shape and Motion from Imaging Data, RFMI 2016 ; Conference date: 27-10-2016 Through 29-10-2016",
year = "2017",
doi = "10.1007/978-3-319-60654-5\_5",
language = "British English",
isbn = "9783319606538",
series = "Communications in Computer and Information Science",
publisher = "Springer Verlag",
pages = "56--64",
editor = "Faten Chaieb and Faouzi Ghorbel and \{Ben Amor\}, Boulbaba",
booktitle = "Representations, Analysis and Recognition of Shape and Motion from Imaging Data - 6th International Workshop, RFMI 2016, Revised Selected Papers",
address = "Germany",
}