A Method of 3D Face Recognition Based on Contour Maps

• Yuan Xue

  Graduate School of Science and Technology, Chiba University

• Lu Jianming

  Graduate School of Science and Technology, Chiba University

• Yahagi Takashi

  Graduate School of Science and Technology, Chiba University

Bibliographic Information

Other Title

• Method of 3D Face Recognition Based on Contour Maps

Abstract

In this paper, we present a method of face recognition using 3D images. We first compensate for the poses of 3D original facial images using feature points and geometrical measurement. Then, the contour maps which are invariant under different illumination conditions are extracted for recognition. In the second step, a method is adopted for face recognition based on fuzzy clustering and parallel neural networks (NN's). Experimental results for 35 persons with different poses and illumination conditions demonstrate the efficiency of our algorithm

Journal

• IEEJ Transactions on Electronics, Information and Systems

  IEEJ Transactions on Electronics, Information and Systems 125 (3), 426-434, 2005

  The Institute of Electrical Engineers of Japan

Keywords

• 3D face recognition
• contour maps
• pose estimation
• illumination invariance
• parallel neural networks

Details

• CRID: 1390282679582320256
• NII Article ID: 10014490264
• NII Book ID: AN10065950
• DOI: 10.1541/ieejeiss.125.426
• ISSN: 13488155
• ISSN: 03854221
• NDL BIB ID: 7270250
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I7270250
• Web Site: http://www.jstage.jst.go.jp/article/ieejeiss/125/3/125_3_426/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed