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Proceedings Paper

Profile feature extraction via the Walsh transform for face recognition
Author(s): Jia Xiaoquang; Mark S. Nixon
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Paper Abstract

This paper describes a measure of the facial profile feature from a frontal view of the face for automatic face recognition. This method is part of a program of research aimed to develop an extended feature set for face recognition. The profile is derived from the intensity projection of the face image and is described using the Walsh power spectrum which was chosen as the feature descriptor from six other descriptors including the Fourier transform according to its ability to distinguish the differences between profiles of different faces. The method has been assessed by applying it to face images of different subjects and to different images of the same person where the face was rotated from side-to-side and up-and-down, or where the lighting varied slightly. The results of this description have been analyzed using two different measures and each shows that this profile feature represented by the Walsh power spectrum can be used to indicate identity and the difference between faces.

Paper Details

Date Published: 1 November 1992
PDF: 7 pages
Proc. SPIE 1825, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision, (1 November 1992); doi: 10.1117/12.131515
Show Author Affiliations
Jia Xiaoquang, Univ. of Southampton (United Kingdom)
Mark S. Nixon, Univ. of Southampton (United Kingdom)


Published in SPIE Proceedings Vol. 1825:
Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision
David P. Casasent, Editor(s)

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