Face recognition using two different 3D sensors

Hwan Jong Song, Kwanghoon Sohn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Theoretical and technical advances in 3D data capture techniques present newer disciplines such as 3D face recognition for biometric identification. This paper presents a 3D face recognition system based on range images under pose varying environments. A range image from a structured light system has been adopted as input data and 3D laser scanned data form a database. 3D head pose estimation is performed to estimate the head pose of input data with extracted facial features. In addition, we generate range images from the 3D database according to estimated parameters in order to perform face recognition. We compare an input range image based on the correlation method and Principle Component Analysis (PCA) with generated range images. Experimental results demonstrate that the proposed method provides 93% recognition rate and can be adopted for 3D biometric identification systems.

Original languageEnglish
Title of host publicationProceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004
EditorsS.J. Ko
Pages28-33
Number of pages6
Publication statusPublished - 2004 Dec 1
EventProceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004 - Seoul, Korea, Republic of
Duration: 2004 Nov 182004 Nov 19

Publication series

NameProceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004

Other

OtherProceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004
CountryKorea, Republic of
CitySeoul
Period04/11/1804/11/19

Fingerprint

Face recognition
Biometrics
Sensors
Correlation methods
Data acquisition
Identification (control systems)
Lasers

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Song, H. J., & Sohn, K. (2004). Face recognition using two different 3D sensors. In S. J. Ko (Ed.), Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004 (pp. 28-33). (Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004).
Song, Hwan Jong ; Sohn, Kwanghoon. / Face recognition using two different 3D sensors. Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004. editor / S.J. Ko. 2004. pp. 28-33 (Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004).
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title = "Face recognition using two different 3D sensors",
abstract = "Theoretical and technical advances in 3D data capture techniques present newer disciplines such as 3D face recognition for biometric identification. This paper presents a 3D face recognition system based on range images under pose varying environments. A range image from a structured light system has been adopted as input data and 3D laser scanned data form a database. 3D head pose estimation is performed to estimate the head pose of input data with extracted facial features. In addition, we generate range images from the 3D database according to estimated parameters in order to perform face recognition. We compare an input range image based on the correlation method and Principle Component Analysis (PCA) with generated range images. Experimental results demonstrate that the proposed method provides 93{\%} recognition rate and can be adopted for 3D biometric identification systems.",
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Song, HJ & Sohn, K 2004, Face recognition using two different 3D sensors. in SJ Ko (ed.), Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004. Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004, pp. 28-33, Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004, Seoul, Korea, Republic of, 04/11/18.

Face recognition using two different 3D sensors. / Song, Hwan Jong; Sohn, Kwanghoon.

Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004. ed. / S.J. Ko. 2004. p. 28-33 (Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - Theoretical and technical advances in 3D data capture techniques present newer disciplines such as 3D face recognition for biometric identification. This paper presents a 3D face recognition system based on range images under pose varying environments. A range image from a structured light system has been adopted as input data and 3D laser scanned data form a database. 3D head pose estimation is performed to estimate the head pose of input data with extracted facial features. In addition, we generate range images from the 3D database according to estimated parameters in order to perform face recognition. We compare an input range image based on the correlation method and Principle Component Analysis (PCA) with generated range images. Experimental results demonstrate that the proposed method provides 93% recognition rate and can be adopted for 3D biometric identification systems.

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Song HJ, Sohn K. Face recognition using two different 3D sensors. In Ko SJ, editor, Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004. 2004. p. 28-33. (Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004).