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Author:

Tang, Hengliang (Tang, Hengliang.) | Yin, Baocai (Yin, Baocai.) (Scholars:尹宝才) | Sun, Yanfeng (Sun, Yanfeng.) (Scholars:孙艳丰) | Hu, Yongli (Hu, Yongli.) (Scholars:胡永利)

Indexed by:

EI Scopus SCIE

Abstract:

It is well recognized that expressions can significantly change facial geometry that results in a severe problem for robust 3D face recognition. So it is crucial for many applications that how to extract expression-robust features to describe 3D faces. In this paper, we develop a novel 3D face recognition algorithm using Local Binary Pattern (LBP) under expression varieties, which is an extension of the LBP operator widely used in ordinary facial analysis. First, to depict the human face more accurately and reduce the effect of facial local distortion for face recognition, a special feature-based 3D face division scheme is proposed. Then, the LBP representation framework for 3D faces is described, and the facial depth and normal information are extracted and encoded by LBP, to reduce the expression effect. For each face region, the statistical histogram is utilized to summarize the facial details, and accordingly three matching strategies are presented to address the recognition task. Finally, the proposed 3D face recognition algorithm is tested on BJUT-3D and FRGC v2.0 databases, achieves promising results, and concludes that it is feasible and valid to apply the LBP representation framework on 3D face recognition. (C) 2012 Elsevier B.V. All rights reserved.

Keyword:

3D face recognition Face division LBP Expression-robust feature

Author Community:

  • [ 1 ] [Tang, Hengliang]Beijing Univ Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Yin, Baocai]Beijing Univ Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Sun, Yanfeng]Beijing Univ Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Hu, Yongli]Beijing Univ Technol, Beijing 100124, Peoples R China
  • [ 5 ] [Tang, Hengliang]Beijing Wuzi Univ, Beijing 101149, Peoples R China

Reprint Author's Address:

  • 孙艳丰

    [Sun, Yanfeng]Beijing Univ Technol, Beijing 100124, Peoples R China

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Source :

SIGNAL PROCESSING

ISSN: 0165-1684

Year: 2013

Issue: 8

Volume: 93

Page: 2190-2198

4 . 4 0 0

JCR@2022

ESI Discipline: ENGINEERING;

JCR Journal Grade:1

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count: 67

SCOPUS Cited Count: 101

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

Affiliated Colleges:

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