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  • 标题:A New Robust Face Detection Method Based on Corner Points
  • 本地全文:下载
  • 作者:Samir El Kaddouhi ; Abderrahim Saaidi ; Mustapha Abarkan
  • 期刊名称:International Journal of Software Engineering and Its Applications
  • 印刷版ISSN:1738-9984
  • 出版年度:2014
  • 卷号:8
  • 期号:11
  • 页码:25-40
  • DOI:10.14257/ijseia.2014.8.11.03
  • 出版社:SERSC
  • 摘要:This paper describes a method of faces detection based on skin color, face shape and corner points. The skin regions are detected by the segmentation of image with a threshold calculated by a combination of rules proposed on elements of the three color spaces RGB, HSV and YCbCr. Next, the geometric constraints (surface, ratio, eccentricity) are applied to eliminate the skin regions detected that do not have a shape similar to a human face. Then the corner points of Harris are used to verify the existence of eyes in the regions detected. The results obtained are satisfactory in terms of the quality of detection and rapidity.
  • 关键词:Face detection; skin color; excentricity; corner points; template matching
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