3D Head Position Estimation Using a Single Omnidirectional Camera for Non-intrusive Iris Recognition

  • Kwanghyuk Bae
  • Kang Ryoung Park
  • Jaihie Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4105)


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.


Ground Plane Head Position Distance Error Iris Recognition Head Detection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Kwanghyuk Bae
    • 1
    • 3
  • Kang Ryoung Park
    • 2
    • 3
  • Jaihie Kim
    • 1
    • 3
  1. 1.Department of Electrical and Electronic EngineeringYonsei UniversitySeoulSouth Korea
  2. 2.Division of Media TechnologySangmyung UniversitySeoulSouth Korea
  3. 3.Biometrics Engineering Research Center (BERC) 

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