Pose-invariant face recognition using cylindrical model and stereo camera

Byeong Doo Ahn; Hanseok Ko

Pose-invariant face recognition using cylindrical model and stereo camera

Byeong Doo Ahn, Hanseok Ko

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

Abstract

This paper proposes a pose-invariant face recognition method using cylindrical model and stereo camera. We divided this paper into two parts. One is single input image case and the other is stereo input image case. In single input image case, we normalized a face's yaw pose using cylindrical model, and in stereo input image case, we normalized a face's pitch pose using cylindrical model with estimated object's pitch pose by stereo geometry. Also, since we have advantage that we can utilize two images acquired at the same time, we can increase overall recognition rate by decision-level fusion. By experiment, we confirmed that recognition rate could be increased using our methods

Original language	English
Title of host publication	Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004
Editors	S.J. Ko
Pages	34-38
Number of pages	5
Publication status	Published - 2004
Event	Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004 - Seoul, Korea, Republic of Duration: 2004 Nov 18 → 2004 Nov 19

Publication series

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

Other

Other	Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004
Country/Territory	Korea, Republic of
City	Seoul
Period	04/11/18 → 04/11/19

ASJC Scopus subject areas

General Engineering

Cite this

Ahn, B. D., & Ko, H. (2004). Pose-invariant face recognition using cylindrical model and stereo camera. In S. J. Ko (Ed.), Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004 (pp. 34-38). (Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004).

Pose-invariant face recognition using cylindrical model and stereo camera. / Ahn, Byeong Doo; Ko, Hanseok.
Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004. ed. / S.J. Ko. 2004. p. 34-38 (Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004).

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

Ahn, BD & Ko, H 2004, Pose-invariant face recognition using cylindrical model and stereo camera. 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. 34-38, Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004, Seoul, Korea, Republic of, 04/11/18.

Ahn, Byeong Doo ; Ko, Hanseok. / Pose-invariant face recognition using cylindrical model and stereo camera. Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004. editor / S.J. Ko. 2004. pp. 34-38 (Proceedings of 2004 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2004).

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AB - This paper proposes a pose-invariant face recognition method using cylindrical model and stereo camera. We divided this paper into two parts. One is single input image case and the other is stereo input image case. In single input image case, we normalized a face's yaw pose using cylindrical model, and in stereo input image case, we normalized a face's pitch pose using cylindrical model with estimated object's pitch pose by stereo geometry. Also, since we have advantage that we can utilize two images acquired at the same time, we can increase overall recognition rate by decision-level fusion. By experiment, we confirmed that recognition rate could be increased using our methods

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ER -

Pose-invariant face recognition using cylindrical model and stereo camera

Abstract

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Other

ASJC Scopus subject areas

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