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JRM Vol.5 No.2 pp. 106-111
doi: 10.20965/jrm.1993.p0106
(1993)

Paper:

An Automatic System for Identification of Human Faces Using Fiber Grating Vision Sensor

Kenji Terada*, Junichi Yamaguchi** and Masato Nakajima*

*Keio University, 3-14-1, Hiyoshi, Kouhoku-ku, Yokohama, Kanagawa 223, Japan

**Sogo Security Service Co., Ltd., 1-6-6 Motoakasaka, Minato-ku, Tokyo 107, Japan

Received:
November 25, 1992
Accepted:
December 5, 1992
Published:
April 20, 1993
Keywords:
Vision sensor, Three dimensional measurement, Identification of faces, Three dimensional features of faces, Neural network
Abstract

In this paper, the authors describe an automatic system for the identification of human faces. In this system, the fiber grating vision sensor which has been developed by the authors is employed for the 3-D shape of the faces. To identify human faces, a multi-layered neural network is used in which the inputs are two component values of normal vector at data spot on the surface of human faces. The experiments using the developed system is performed to demonstrate the efficacy of this system and the experimental results are shown.

Cite this article as:
K. Terada, J. Yamaguchi, and M. Nakajima, “An Automatic System for Identification of Human Faces Using Fiber Grating Vision Sensor,” J. Robot. Mechatron., Vol.5, No.2, pp. 106-111, 1993.
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