3D face recognition with geometrically localized surface shape indexes

Hyoungchul Shin, Kwanghoon Sohn

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

10 Citations (Scopus)

Abstract

This paper describes a pose invariant three-dimensional (3D) face recognition method using distinctive facial features. A face has its structural components like the eyes, nose and mouth. The positions and the shapes of the facial components are very important characteristics of a face. We extract invariant facial feature points on those components using the facial geometry from a normalized face data and calculate relative features using these feature points. We also calculate a shape index on each area of facial feature point to represent curvature characteristics of facial components. We perform recognition by using weighted distance matching, Support Vector Machine (SVM) and Independent Component Analysis (ICA).

Original languageEnglish
Title of host publication9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06
DOIs
Publication statusPublished - 2006 Dec 1
Event9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06 - Singapore, Singapore
Duration: 2006 Dec 52006 Dec 8

Publication series

Name9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06

Other

Other9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06
CountrySingapore
CitySingapore
Period06/12/506/12/8

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All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering

Cite this

Shin, H., & Sohn, K. (2006). 3D face recognition with geometrically localized surface shape indexes. In 9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06 [4150102] (9th International Conference on Control, Automation, Robotics and Vision, 2006, ICARCV '06). https://doi.org/10.1109/ICARCV.2006.345192