3D aided face recognition across pose variations

Wuming Zhang; Di Huang; Yunhong Wang; Liming Chen

doi:10.1007/978-3-642-35136-5_8

3D aided face recognition across pose variations

Wuming Zhang^*
, Di Huang
, Yunhong Wang
, Liming Chen

^*此作品的通讯作者

计算机学院

École centrale de Lyon
Beihang University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

10 引用（Scopus）

摘要

Recently, 3D aided face recognition, concentrating on improving performance of 2D techniques via 3D data, has received increasing attention due to its wide application potential in real condition. In this paper, we present a novel 3D aided face recognition method that can deal with the probe images in different viewpoints. It first estimates the face pose based on the Random Regression Forest, and then rotates the 3D face models in the gallery set to that of the probe pose to generate specific gallery sample for matching, which largely reduces the influence of head pose variations. Experiments are carried out on a subset of the FRGC v1.0 database, and the achieved performance clearly highlights the effectiveness of the proposed method.

源语言	英语
主期刊名	Biometric Recognition - 7th Chinese Conference, CCBR 2012, Proceedings
页	58-66
页数	9
DOI	https://doi.org/10.1007/978-3-642-35136-5_8
出版状态	已出版 - 2012
活动	7th Chinese Conference on Biometric Recognition, CCBR 2012 - Guangzhou, 中国期限: 4 12月 2012 → 5 12月 2012

出版系列

姓名	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
卷	7701 LNCS
ISSN（印刷版）	0302-9743
ISSN（电子版）	1611-3349

会议

会议	7th Chinese Conference on Biometric Recognition, CCBR 2012
国家/地区	中国
市	Guangzhou
时期	4/12/12 → 5/12/12

访问文件

10.1007/978-3-642-35136-5_8

其它文件与链接

链接到 Scopus 的出版物

引用此

Zhang, W., Huang, D., Wang, Y., & Chen, L. (2012). 3D aided face recognition across pose variations. 在 Biometric Recognition - 7th Chinese Conference, CCBR 2012, Proceedings (页码 58-66). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 7701 LNCS). https://doi.org/10.1007/978-3-642-35136-5_8

@inproceedings{5f183bc1ad7445cba1c68b7c59b0d48e,

title = "3D aided face recognition across pose variations",

abstract = "Recently, 3D aided face recognition, concentrating on improving performance of 2D techniques via 3D data, has received increasing attention due to its wide application potential in real condition. In this paper, we present a novel 3D aided face recognition method that can deal with the probe images in different viewpoints. It first estimates the face pose based on the Random Regression Forest, and then rotates the 3D face models in the gallery set to that of the probe pose to generate specific gallery sample for matching, which largely reduces the influence of head pose variations. Experiments are carried out on a subset of the FRGC v1.0 database, and the achieved performance clearly highlights the effectiveness of the proposed method.",

keywords = "Face recognition, LBP, pose estimation, random regression forests",

author = "Wuming Zhang and Di Huang and Yunhong Wang and Liming Chen",

year = "2012",

doi = "10.1007/978-3-642-35136-5\_8",

language = "英语",

isbn = "9783642355059",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "58--66",

booktitle = "Biometric Recognition - 7th Chinese Conference, CCBR 2012, Proceedings",

note = "7th Chinese Conference on Biometric Recognition, CCBR 2012 ; Conference date: 04-12-2012 Through 05-12-2012",

}

Zhang, W, Huang, D , Wang, Y & Chen, L 2012, 3D aided face recognition across pose variations. 在 Biometric Recognition - 7th Chinese Conference, CCBR 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 卷 7701 LNCS, 页码 58-66, 7th Chinese Conference on Biometric Recognition, CCBR 2012, Guangzhou, 中国, 4/12/12. https://doi.org/10.1007/978-3-642-35136-5_8

3D aided face recognition across pose variations. / Zhang, Wuming; Huang, Di ; Wang, Yunhong 等.
Biometric Recognition - 7th Chinese Conference, CCBR 2012, Proceedings. 2012. 页码 58-66 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 7701 LNCS).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - 3D aided face recognition across pose variations

AU - Zhang, Wuming

AU - Huang, Di

AU - Wang, Yunhong

AU - Chen, Liming

PY - 2012

Y1 - 2012

N2 - Recently, 3D aided face recognition, concentrating on improving performance of 2D techniques via 3D data, has received increasing attention due to its wide application potential in real condition. In this paper, we present a novel 3D aided face recognition method that can deal with the probe images in different viewpoints. It first estimates the face pose based on the Random Regression Forest, and then rotates the 3D face models in the gallery set to that of the probe pose to generate specific gallery sample for matching, which largely reduces the influence of head pose variations. Experiments are carried out on a subset of the FRGC v1.0 database, and the achieved performance clearly highlights the effectiveness of the proposed method.

AB - Recently, 3D aided face recognition, concentrating on improving performance of 2D techniques via 3D data, has received increasing attention due to its wide application potential in real condition. In this paper, we present a novel 3D aided face recognition method that can deal with the probe images in different viewpoints. It first estimates the face pose based on the Random Regression Forest, and then rotates the 3D face models in the gallery set to that of the probe pose to generate specific gallery sample for matching, which largely reduces the influence of head pose variations. Experiments are carried out on a subset of the FRGC v1.0 database, and the achieved performance clearly highlights the effectiveness of the proposed method.

KW - Face recognition

KW - LBP

KW - pose estimation

KW - random regression forests

UR - https://www.scopus.com/pages/publications/84871381431

U2 - 10.1007/978-3-642-35136-5_8

DO - 10.1007/978-3-642-35136-5_8

M3 - 会议稿件

AN - SCOPUS:84871381431

SN - 9783642355059

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 58

EP - 66

BT - Biometric Recognition - 7th Chinese Conference, CCBR 2012, Proceedings

T2 - 7th Chinese Conference on Biometric Recognition, CCBR 2012

Y2 - 4 December 2012 through 5 December 2012

ER -

3D aided face recognition across pose variations

摘要

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会议

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指纹

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