An efficiently 3D face recognizing method using range image and sparse representation

Chao Zhang; Yanning Zhang; Zenggang Lin; Zhe Guo

doi:10.1109/CISE.2010.5677258

An efficiently 3D face recognizing method using range image and sparse representation

Chao Zhang, Yanning Zhang, Zenggang Lin, Zhe Guo

School of Computer Science

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

In order to eliminate the effect of the facial expression and illumination condition, as well as to speed up the recognition procedure, we propose a face recognition approach based on sparse representation. First, preprocessing and segmenting the face area from three dimensional (3D) face scans, we also apply coarse to fine registration to ensure the alignment of range images; second, mapping the 3D model to range image through a kind of geometry-based resampling method; finally, employ sparse representation classification method to identify 3D face. The experiment results in actual 3D face database demonstrate the effectiveness of the proposed method.

Original language	English
Title of host publication	2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010
DOIs	https://doi.org/10.1109/CISE.2010.5677258
State	Published - 2010
Event	2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010 - Wuhan, China Duration: 10 Dec 2010 → 12 Dec 2010

Publication series

Name	2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010

Conference

Conference	2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010
Country/Territory	China
City	Wuhan
Period	10/12/10 → 12/12/10

Keywords

3D face recognition
Expression insensitive
Range image
Sparse representation

Access to Document

10.1109/CISE.2010.5677258

Cite this

Zhang, C., Zhang, Y., Lin, Z., & Guo, Z. (2010). An efficiently 3D face recognizing method using range image and sparse representation. In 2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010 Article 5677258 (2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010). https://doi.org/10.1109/CISE.2010.5677258

@inproceedings{db08070fadf24ddb88dfe9e795ae40f9,

title = "An efficiently 3D face recognizing method using range image and sparse representation",

abstract = "In order to eliminate the effect of the facial expression and illumination condition, as well as to speed up the recognition procedure, we propose a face recognition approach based on sparse representation. First, preprocessing and segmenting the face area from three dimensional (3D) face scans, we also apply coarse to fine registration to ensure the alignment of range images; second, mapping the 3D model to range image through a kind of geometry-based resampling method; finally, employ sparse representation classification method to identify 3D face. The experiment results in actual 3D face database demonstrate the effectiveness of the proposed method.",

keywords = "3D face recognition, Expression insensitive, Range image, Sparse representation",

author = "Chao Zhang and Yanning Zhang and Zenggang Lin and Zhe Guo",

year = "2010",

doi = "10.1109/CISE.2010.5677258",

language = "英语",

isbn = "9781424453924",

series = "2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010",

booktitle = "2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010",

note = "2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010 ; Conference date: 10-12-2010 Through 12-12-2010",

}

Zhang, C, Zhang, Y, Lin, Z & Guo, Z 2010, An efficiently 3D face recognizing method using range image and sparse representation. in 2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010., 5677258, 2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010, 2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010, Wuhan, China, 10/12/10. https://doi.org/10.1109/CISE.2010.5677258

An efficiently 3D face recognizing method using range image and sparse representation. / Zhang, Chao; Zhang, Yanning; Lin, Zenggang et al.
2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010. 2010. 5677258 (2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An efficiently 3D face recognizing method using range image and sparse representation

AU - Zhang, Chao

AU - Zhang, Yanning

AU - Lin, Zenggang

AU - Guo, Zhe

PY - 2010

Y1 - 2010

N2 - In order to eliminate the effect of the facial expression and illumination condition, as well as to speed up the recognition procedure, we propose a face recognition approach based on sparse representation. First, preprocessing and segmenting the face area from three dimensional (3D) face scans, we also apply coarse to fine registration to ensure the alignment of range images; second, mapping the 3D model to range image through a kind of geometry-based resampling method; finally, employ sparse representation classification method to identify 3D face. The experiment results in actual 3D face database demonstrate the effectiveness of the proposed method.

AB - In order to eliminate the effect of the facial expression and illumination condition, as well as to speed up the recognition procedure, we propose a face recognition approach based on sparse representation. First, preprocessing and segmenting the face area from three dimensional (3D) face scans, we also apply coarse to fine registration to ensure the alignment of range images; second, mapping the 3D model to range image through a kind of geometry-based resampling method; finally, employ sparse representation classification method to identify 3D face. The experiment results in actual 3D face database demonstrate the effectiveness of the proposed method.

KW - 3D face recognition

KW - Expression insensitive

KW - Range image

KW - Sparse representation

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U2 - 10.1109/CISE.2010.5677258

DO - 10.1109/CISE.2010.5677258

M3 - 会议稿件

AN - SCOPUS:79951607452

SN - 9781424453924

T3 - 2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010

BT - 2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010

T2 - 2010 International Conference on Computational Intelligence and Software Engineering, CiSE 2010

Y2 - 10 December 2010 through 12 December 2010

ER -

An efficiently 3D face recognizing method using range image and sparse representation

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Keywords

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