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Eye Detection Algorithm
on Facial Color Images
學號:M97G0209
學生:陳建宏
Data:2008.10.30
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Outlines
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Introduction
Algorithm of Eye Detection
Improvement Phase
Experimental Results
Conclustions
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Introduction
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Eye detection is a crucial step in many
applications as face
detection/recognition, face expression
analysis
Color is one of the useful features used
for eye detection.
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Algorithm of Eye Detection
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EyeMapC from the chrominance
EyeMapL from the luminance
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Algorithm of Eye Detection
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Cb
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EyeMapC   (Cb )  (Cr )  (
)
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Cr
Cb、Cr：normalized to the range[0 1]
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Algorithm of Eye Detection
Y ( x , y )  g ( x, y )
EyeMapL 
Y ( x, y )  g ( x, y )
Y ( x, y )  g ( x, y )
Y ( x, y )  g ( x, y)
Y ( x, y )  g ( x, y)：Gray-scale erosion
Y ( x, y )  g ( x, y )：Gray-scale dilation
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Improvement Phase
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Experimental Results
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Experimental Results
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