Face recognition with pose variations
David P. Casasent, Ashit Talukder · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000
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.