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Erschienen in:
Local Feature-Based 3D Canonical Form Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

Early Features Fusion over 3D Face for Face Recognition

verfasst von : Claudio Tortorici, Naoufel Werghi

Erschienen in: Representations, Analysis and Recognition of Shape and Motion from Imaging Data

Verlag: Springer International Publishing

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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.

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Vorheriges Kapitel Shape Analysis Based Anti-spoofing 3D Face Recognition with Mask Attacks
Nächstes Kapitel Enhancing 3D Face Recognition by a Robust Version of ICP Based on the Three Polar Representation
Fußnoten
1
The LBP descriptor complied with the mesh manifold.
 
2
The framework allows to use any kind of features.
 
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Metadaten
Titel
Early Features Fusion over 3D Face for Face Recognition
verfasst von
Claudio Tortorici
Naoufel Werghi
Copyright-Jahr
2017
Buch
Representations, Analysis and Recognition of Shape and Motion from Imaging Data

Print ISBN: 978-3-319-60653-8

Electronic ISBN: 978-3-319-60654-5

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-60654-5_5