Face Detection

• ChromaDist.m  : returns the chromatic components of the image low pass filtering is carried out to remove noise.

 
• ColorDistPlot.m :  plot the chromatic color distribution of the image.

 
• SegmentSkin.m :  Assume the skinmodel.m is run. Then, produce two images, skinlikelihood greyscale image, skin1and skin segment binary image, skin2.

 
• skinmodel.m: 32500 skin samples from 17 color images will be used here to determine the the color distribution of a human face in chromatic color space.

 
• detect.m  : main routine that given theskin segmented image and the original image, determines which regions correspond to a face and marks them with a rectangle.

 
• processregion.m :  plot the chromatic color distribution of the image.

 
• faceInfo.m :  Gets some information of the region that might indicate a face.

 
• center.m: Computes the center of mass or centroid of a skin region.

 
• orient.m: Determines the inclination angle of the region with respect to the vertical line.

 
• isThisAFace.m

 
• clean_model.m

 
• recsize.m

 

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