3D head position estimation using a single omnidirectional camera for non-intrusive Iris recognition

Kwanghyuk Bae, Kang Ryoung Park, Jaihie Kim

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

1 Citation (Scopus)

Abstract

This paper proposes a new method of estimating 3D head positions using a single omnidirectional camera for non-intrusive biometric systems; in this case, non-intrusive iris recognition. The proposed method has two important advantages over previous research. First, previous researchers used the harsh constraint that the ground plane must be orthogonal to the camera's optical axis. However, the proposed method can detect 3D head positions even in non-orthogonal cases. Second, we propose a new method of detecting head positions in an omnidirectional camera image based on a circular constraint. Experimental results showed that the error between the ground-truth and the estimated 3D head positions was 14.73 cm with a radial operating range of 2-7.5 m.

Original languageEnglish
Title of host publicationMultimedia Content Representation, Classification and Security - International Workshop, MRCS 2006. Proceedings
PublisherSpringer Verlag
Pages167-174
Number of pages8
ISBN (Print)3540393927, 9783540393924
Publication statusPublished - 2006 Jan 1
EventInternational Workshop on Multimedia Content Representation, Classification and Security, MRCS 2006 - Istanbul, Turkey
Duration: 2006 Sep 112006 Sep 13

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4105 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherInternational Workshop on Multimedia Content Representation, Classification and Security, MRCS 2006
CountryTurkey
CityIstanbul
Period06/9/1106/9/13

Fingerprint

Iris Recognition
Camera
Cameras
Biometrics
Experimental Results
Range of data

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Bae, K., Park, K. R., & Kim, J. (2006). 3D head position estimation using a single omnidirectional camera for non-intrusive Iris recognition. In Multimedia Content Representation, Classification and Security - International Workshop, MRCS 2006. Proceedings (pp. 167-174). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4105 LNCS). Springer Verlag.
Bae, Kwanghyuk ; Park, Kang Ryoung ; Kim, Jaihie. / 3D head position estimation using a single omnidirectional camera for non-intrusive Iris recognition. Multimedia Content Representation, Classification and Security - International Workshop, MRCS 2006. Proceedings. Springer Verlag, 2006. pp. 167-174 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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abstract = "This paper proposes a new method of estimating 3D head positions using a single omnidirectional camera for non-intrusive biometric systems; in this case, non-intrusive iris recognition. The proposed method has two important advantages over previous research. First, previous researchers used the harsh constraint that the ground plane must be orthogonal to the camera's optical axis. However, the proposed method can detect 3D head positions even in non-orthogonal cases. Second, we propose a new method of detecting head positions in an omnidirectional camera image based on a circular constraint. Experimental results showed that the error between the ground-truth and the estimated 3D head positions was 14.73 cm with a radial operating range of 2-7.5 m.",
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Bae, K, Park, KR & Kim, J 2006, 3D head position estimation using a single omnidirectional camera for non-intrusive Iris recognition. in Multimedia Content Representation, Classification and Security - International Workshop, MRCS 2006. Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4105 LNCS, Springer Verlag, pp. 167-174, International Workshop on Multimedia Content Representation, Classification and Security, MRCS 2006, Istanbul, Turkey, 06/9/11.

3D head position estimation using a single omnidirectional camera for non-intrusive Iris recognition. / Bae, Kwanghyuk; Park, Kang Ryoung; Kim, Jaihie.

Multimedia Content Representation, Classification and Security - International Workshop, MRCS 2006. Proceedings. Springer Verlag, 2006. p. 167-174 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4105 LNCS).

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

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AB - This paper proposes a new method of estimating 3D head positions using a single omnidirectional camera for non-intrusive biometric systems; in this case, non-intrusive iris recognition. The proposed method has two important advantages over previous research. First, previous researchers used the harsh constraint that the ground plane must be orthogonal to the camera's optical axis. However, the proposed method can detect 3D head positions even in non-orthogonal cases. Second, we propose a new method of detecting head positions in an omnidirectional camera image based on a circular constraint. Experimental results showed that the error between the ground-truth and the estimated 3D head positions was 14.73 cm with a radial operating range of 2-7.5 m.

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Bae K, Park KR, Kim J. 3D head position estimation using a single omnidirectional camera for non-intrusive Iris recognition. In Multimedia Content Representation, Classification and Security - International Workshop, MRCS 2006. Proceedings. Springer Verlag. 2006. p. 167-174. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).