Author(s): Mary Metilda | T. Santhanam
Journal: Information Technology Journal
ISSN 1812-5638
Volume: 7;
Issue: 1;
Start page: 105;
Date: 2008;
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Keywords: Skin color segmentation | color space | anthropometrics | connected component operator
ABSTRACT
The task of detecting faces is a precursor intended for shaping the information that the face provides. A robust way to locate the faces in images, insensitive to scale, pose, style, facial expression and lighting condition is contributed as a two phase process in this study. The first phase aspects a human face against a complex background by performing a skin color analysis of the image, as it is most liable that color noises have low probability on being flesh color. During the second phase, random measurements are generated to populate the entrant face region according to the face anthropometrics using the eye location determined from the YCbCr color space. The combination of holistic and configural approach implemented in this study has proven to be a very speedy, effortless and exceedingly competent scheme for locating complex stimuli such as face.
Journal: Information Technology Journal
ISSN 1812-5638
Volume: 7;
Issue: 1;
Start page: 105;
Date: 2008;
VIEW PDF


Keywords: Skin color segmentation | color space | anthropometrics | connected component operator
ABSTRACT
The task of detecting faces is a precursor intended for shaping the information that the face provides. A robust way to locate the faces in images, insensitive to scale, pose, style, facial expression and lighting condition is contributed as a two phase process in this study. The first phase aspects a human face against a complex background by performing a skin color analysis of the image, as it is most liable that color noises have low probability on being flesh color. During the second phase, random measurements are generated to populate the entrant face region according to the face anthropometrics using the eye location determined from the YCbCr color space. The combination of holistic and configural approach implemented in this study has proven to be a very speedy, effortless and exceedingly competent scheme for locating complex stimuli such as face.