Profile feature extraction via the Walsh transform for face recognition

Jia Xiaoquang; Mark S. Nixon

doi:10.1117/12.131515

1 November 1992 Profile feature extraction via the Walsh transform for face recognition

Jia Xiaoquang, Mark S. Nixon

Proceedings Volume 1825, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision; (1992) https://doi.org/10.1117/12.131515
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

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.

Citation Download Citation

Jia Xiaoquang and Mark S. Nixon "Profile feature extraction via the Walsh transform for face recognition", Proc. SPIE 1825, Intelligent Robots and Computer Vision XI: Algorithms, Techniques, and Active Vision, (1 November 1992); https://doi.org/10.1117/12.131515

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