Automatic pose-normalized 3D face modeling and recognition systems

Sunjin Yu; Kwontaeg Choi; Sangyoun Lee

doi:10.1007/11949534_65

Automatic pose-normalized 3D face modeling and recognition systems

Sunjin Yu, Kwontaeg Choi, Sangyoun Lee

Department of Electrical and Electronic Engineering

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

1 Citation (Scopus)

Abstract

Pose-variation factors present a big problem in 2D face recognition. To solve this problem, we designed a 3D face acquisition system which was able to generate multi-view images. However, this created another pose-estimation problem in terms of normalizing the 3D face data. This paper presents an automatic pose-normalized 3D face data acquisition method that is able to perform both 3D face modeling and 3D face pose-normalization at once. The proposed method uses 2D information with the AAM (Active Appearance Model) and 3D information with a 3D normal vector. The proposed system is based on stereo vision and a structured light system which consists of 2 cameras and 1 projector. In orsder to verify the performance of the proposed method, we designed an experiment for 2.5D face recognition. Experimental results showed that the proposed method is robust against pose variation.

Original language	English
Title of host publication	Advances in Image and Video Technology - First Pacific Rim Symposium, PSIVT 2006, Proceedings
Publisher	Springer Verlag
Pages	652-661
Number of pages	10
ISBN (Print)	354068297X, 9783540682974
DOIs	https://doi.org/10.1007/11949534_65
Publication status	Published - 2006
Event	1st Pacific Rim Symposium on Image and Video Technology, PSIVT 2006 - Hsinchu, Taiwan, Province of China Duration: 2006 Dec 10 → 2006 Dec 13

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4319 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	1st Pacific Rim Symposium on Image and Video Technology, PSIVT 2006
Country	Taiwan, Province of China
City	Hsinchu
Period	06/12/10 → 06/12/13

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/11949534_65

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Yu, S., Choi, K., & Lee, S. (2006). Automatic pose-normalized 3D face modeling and recognition systems. In Advances in Image and Video Technology - First Pacific Rim Symposium, PSIVT 2006, Proceedings (pp. 652-661). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4319 LNCS). Springer Verlag. https://doi.org/10.1007/11949534_65

Yu, Sunjin ; Choi, Kwontaeg ; Lee, Sangyoun. / Automatic pose-normalized 3D face modeling and recognition systems. Advances in Image and Video Technology - First Pacific Rim Symposium, PSIVT 2006, Proceedings. Springer Verlag, 2006. pp. 652-661 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "Pose-variation factors present a big problem in 2D face recognition. To solve this problem, we designed a 3D face acquisition system which was able to generate multi-view images. However, this created another pose-estimation problem in terms of normalizing the 3D face data. This paper presents an automatic pose-normalized 3D face data acquisition method that is able to perform both 3D face modeling and 3D face pose-normalization at once. The proposed method uses 2D information with the AAM (Active Appearance Model) and 3D information with a 3D normal vector. The proposed system is based on stereo vision and a structured light system which consists of 2 cameras and 1 projector. In orsder to verify the performance of the proposed method, we designed an experiment for 2.5D face recognition. Experimental results showed that the proposed method is robust against pose variation.",

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Yu, S, Choi, K & Lee, S 2006, Automatic pose-normalized 3D face modeling and recognition systems. in Advances in Image and Video Technology - First Pacific Rim Symposium, PSIVT 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4319 LNCS, Springer Verlag, pp. 652-661, 1st Pacific Rim Symposium on Image and Video Technology, PSIVT 2006, Hsinchu, Taiwan, Province of China, 06/12/10. https://doi.org/10.1007/11949534_65

Automatic pose-normalized 3D face modeling and recognition systems. / Yu, Sunjin; Choi, Kwontaeg; Lee, Sangyoun.

Advances in Image and Video Technology - First Pacific Rim Symposium, PSIVT 2006, Proceedings. Springer Verlag, 2006. p. 652-661 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4319 LNCS).

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

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Yu S, Choi K, Lee S. Automatic pose-normalized 3D face modeling and recognition systems. In Advances in Image and Video Technology - First Pacific Rim Symposium, PSIVT 2006, Proceedings. Springer Verlag. 2006. p. 652-661. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/11949534_65