Paper
31 March 2000 Pose estimation and transformation for face recognition
Ashit Talukder, David P. Casasent
Author Affiliations +
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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ashit Talukder and David P. Casasent "Pose estimation and transformation for face recognition", Proc. SPIE 4043, Optical Pattern Recognition XI, (31 March 2000); https://doi.org/10.1117/12.381592
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KEYWORDS
Facial recognition systems

Neural networks

Detection and tracking algorithms

Principal component analysis

Matrices

Image restoration

Neurons

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