Human verification using 3D-gray-scale face image

Ryutaro Ito, Kazuo Nakazawa, Masato Nakajima

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In recent years, many different techniques have been proposed to verify human face. Most of them used gray-scale image and some of them used range image. Because the two types of image include different information, their combination can increase the correct verification rate. The paper propose a human face verification method using a 3D-gray-scale imaging technique. First, we developed an effectiveness procedure for obtaining a 3D-gray-scale face image based on a 2D-gray-scale image and a range image. Then we propose a human face verification technique using the subspaee method: to verify whether the observed person is himself, distance is calculated between the face data of the person and the subspace of the registered data. In order to verify the effectiveness of our method, we applyed this method to 18 people. Tim result of experiment shows effectiveness of the method.

Original languageEnglish
Title of host publicationAdvances in Pattern Recognition - Joint IAPR International Workshops SSPR 1998 and SPR 1998, Proceedings
EditorsAdnan Amin, Dov Dori, Pavel Pudil, Herbert Freeman
PublisherSpringer Verlag
Pages1005-1012
Number of pages8
ISBN (Print)3540648585, 9783540648581
DOIs
Publication statusPublished - 1998
Event7th Joint IAPR International Workshop on Structural and Syntactic Pattern Recognition, SSPR 1998 and 2nd International Workshop on Statistical Techniques in Pattern Recognition, SPR 1998 - Sydney, Australia
Duration: 1998 Aug 111998 Aug 13

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1451
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th Joint IAPR International Workshop on Structural and Syntactic Pattern Recognition, SSPR 1998 and 2nd International Workshop on Statistical Techniques in Pattern Recognition, SPR 1998
Country/TerritoryAustralia
CitySydney
Period98/8/1198/8/13

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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