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Proceedings Article

Pose estimation and transformation of faces

[+] Author Affiliations
Ashit Talukder, David P. Casasent

Carnegie Mellon Univ. (USA)

Proc. SPIE 3522, Intelligent Robots and Computer Vision XVII: Algorithms, Techniques, and Active Vision, 84 (October 6, 1998); doi:10.1117/12.325803
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From Conference Volume 3522

  • Intelligent Robots and Computer Vision XVII: Algorithms, Techniques, and Active Vision
  • David P. Casasent
  • Boston, MA | November 01, 1998

abstract

A new technique is discussed to estimate the pose (orientation) of unknown human faces from 2D gray-scale images and then transform the unknown face to a reference pose using a nonlinear feature extraction procedure. This feature extraction scheme is known as the maximum representation and discrimination feature (MRDF) method. The MRDF is shown to provide good features for discrimination between classes that is useful for pose estimation, and for object representation that is useful for pose transformation of an unknown face. Our approach is computationally efficient and has numerous potential applications, including post-invariant face recognition.

© (1998) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Ashit Talukder and David P. Casasent
"Pose estimation and transformation of faces", Proc. SPIE 3522, Intelligent Robots and Computer Vision XVII: Algorithms, Techniques, and Active Vision, 84 (October 6, 1998); doi:10.1117/12.325803; http://dx.doi.org/10.1117/12.325803


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