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Proceedings Paper

New method for designing face image classifiers using 3-D CG model
Author(s): Shigeru Akamatsu; Tsutomu Sasaki; Nobuhiko Masui; Hideo Fukamachi; Yasuhito Suenaga
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Paper Abstract

This paper proposes a new approach for designing robust pattern classifiers for human face images with the aid of a state-of-the-art 3-D imaging technique. The 3-D CG models of human faces are obtained using a new 3-D scanner. A database of synthesized face images simulating diverse imaging conditions is automatically constructed from the 3-D CG model of the subject's face by generating a series of images while varying the image synthesis parameters. The database is successfully applied to the extraction of a pair-wise discriminant that achieves higher class separability against real face images of two subjects acquired under disparate imaging conditions. The use of the 3-D CG model in training a classifier is shown to yield more accurate face recognition in the framework of 2-D image matching.

Paper Details

Date Published: 1 November 1991
PDF: 13 pages
Proc. SPIE 1606, Visual Communications and Image Processing '91: Image Processing, (1 November 1991); doi: 10.1117/12.50398
Show Author Affiliations
Shigeru Akamatsu, NTT Human Interface Labs. (Japan)
Tsutomu Sasaki, NTT Human Interface Labs. (Japan)
Nobuhiko Masui, NTT Human Interface Labs. (Japan)
Hideo Fukamachi, NTT Software Corp. (Japan)
Yasuhito Suenaga, NTT Human Interface Labs. (Japan)

Published in SPIE Proceedings Vol. 1606:
Visual Communications and Image Processing '91: Image Processing
Kou-Hu Tzou; Toshio Koga, Editor(s)

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