A hybrid technique for facial feature point detection

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

21 Scopus citations

Abstract

Existing techniques for facial feature point detection from color images include template matching, facial geometry and symmetry analysis, mathematical morphology, luminance and chrominance analysis, and PCA. However, these techniques are plagued by poor performance in the presence of scale variations. In this paper, a hybrid technique is proposed that employs a combination of the above approaches along with curvature analysis of the intensity surface of the face image in order to provide a superior performance with reduced computational complexity, even in the presence of scale variations.

Original languageEnglish (US)
Title of host publicationProceedings - 5th IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2002
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages134-138
Number of pages5
Volume2002-January
ISBN (Electronic)0769515371
DOIs
StatePublished - 2002
Event5th IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2002 - Santa Fe, United States
Duration: Apr 7 2002Apr 9 2002

Other

Other5th IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2002
CountryUnited States
CitySanta Fe
Period4/7/024/9/02

Keywords

  • Computational complexity
  • Eyes
  • Face detection
  • Facial features
  • Image analysis
  • Image color analysis
  • Image edge detection
  • Nose
  • Performance analysis
  • Principal component analysis

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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