Pose estimation and transformation of faces

Ashit Talukder; David P. Casasent

doi:10.1117/12.325803

6 October 1998 Pose estimation and transformation of faces

Ashit Talukder, David P. Casasent

Proceedings Volume 3522, Intelligent Robots and Computer Vision XVII: Algorithms, Techniques, and Active Vision; (1998) https://doi.org/10.1117/12.325803
Event: Photonics East (ISAM, VVDC, IEMB), 1998, Boston, MA, United States

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.

Citation Download 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, (6 October 1998); https://doi.org/10.1117/12.325803

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