Statistical Approach to a Color-based Face Detection Algorithm EE 368 Digital Image Processing Group 15 Carmen Ng, Thomas Pun May 30, 2002
Dec 31, 2015
Statistical Approach to a Color-based Face Detection Algorithm
EE 368
Digital Image Processing
Group 15
Carmen Ng, Thomas Pun
May 30, 2002
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Statistical Approach to a Color-based Face Detection Algorithm
Assumptions 4 Stages:
Pre-processing Skin Color Region Labeling Statistical Face Selection Techniques Edge Detection
Advantages/Disadvantages
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Statistical Approach to a Color-based Face Detection Algorithm
Assumptions: Color image Multiple faces with similar area Face orientation
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Statistical Approach to a Color-based Face Detection Algorithm
I . Image Pre-processing Boundary extension Improves accuracy
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Statistical Approach to a Color-based Face Detection Algorithm
II . Skin Color Region Labeling Color-based
Chrominance extraction in YCbCr space
Morphological operations Dilation and erosion
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Statistical Approach to a Color-based Face Detection Algorithm
III . Statistical Analysis Popular area finder
Facial feature detector (holes in binary images) Popular area, width and height
Face rejection Reject unpopular areas
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Statistical Approach to a Color-based Face Detection Algorithm
IV . Facial Feature (Eye) Detection Approximate eye location LPF to remove noise Edge detection to locate strong edges