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Proceedings Paper

Pose estimation and transformation for face recognition
Author(s): Ashit Talukder; David P. Casasent
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Paper Abstract

A new efficient two-stage algorithm to compute nonlinear features is described. Its implementation on a neural net with adaptive activation functions that raise the input data to an arbitrary power is described. Its use in face recognition with unknown input poses is presented.

Paper Details

Date Published: 31 March 2000
PDF: 4 pages
Proc. SPIE 4043, Optical Pattern Recognition XI, (31 March 2000); doi: 10.1117/12.381592
Show Author Affiliations
Ashit Talukder, Jet Propulsion Lab. (United States)
David P. Casasent, Carnegie Mellon Univ. (United States)

Published in SPIE Proceedings Vol. 4043:
Optical Pattern Recognition XI
David P. Casasent; Tien-Hsin Chao, Editor(s)

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