Abstract

Facial feature detection studies on the same modality have been conducted by many researchers, but the research results cannot be implemented on the different modality, only a few studies that can be used to detect the facial features on the different modality. In this research, we proposed method to detect the facial features on the different modality. The deviation standard on the landmark variations improvement has been considered as parameters to improve the moving direction toward the corresponding features. The experimental results show that the detection accuracy of our proposed method is 91.944% for the 1st model and 91.46% for the 2nd model. Our proposed method has been shown outperformed the mixture model method.

Original languageEnglish
Title of host publicationICCAS 2012 - 2012 IEEE International Conference on Circuits and Systems
Subtitle of host publication"Advanced Circuits and Systems for Sustainability"
Pages131-136
Number of pages6
DOIs
Publication statusPublished - 2012
Event2012 IEEE International Conference on Circuits and Systems: "Advanced Circuits and Systems for Sustainability", ICCAS 2012 - Kuala Lumpur, Malaysia
Duration: 3 Oct 20124 Oct 2012

Publication series

NameICCAS 2012 - 2012 IEEE International Conference on Circuits and Systems: "Advanced Circuits and Systems for Sustainability"

Conference

Conference2012 IEEE International Conference on Circuits and Systems: "Advanced Circuits and Systems for Sustainability", ICCAS 2012
Country/TerritoryMalaysia
CityKuala Lumpur
Period3/10/124/10/12

Keywords

  • detection
  • facial features
  • landmark variation
  • the different modality

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