Face Detection In Color Images

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Face Detection In Color Images
Wenmiao Lu Shaohua Sun
Group 3
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Skin Segmentation

• Overview
• Human Skin Segmentation
• Adaptive Shape Analysis
• View-based Face Detection
• Results

Shape Analysis
Face Detection
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Human Skin Segmentation

• Use YCbCr color space for good cluster separation
• Model the skin and background color distributions
  with GMM
• Segmentation by maximum likelihood classification

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An Example for Initial Skin Segmentation
Fairly complete skin segmentation with some noise
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Adaptive Shape Analysis
Refine the binary map
Open to get smaller regions
Initial Face Identification
Different Structuring Elements
Prior Information
Erosion Dilation
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An Example for Adaptive Shape Analysis

• Medium size faces
• Small, big or odd shaped regions passed to next
  stage

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View-Based Face Detection
Project to Low-dimensional Feature Space Spanned
by Largest Eigenvectors
Test Pattern
Face/Non-Face Decision
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Distances to Face Model
Test pattern is measured against the Face Model,
which consists of i) 6 Face Clusters and ii) 6
Non-face Clusters
Figure is obtain from Sung, Kah Kay
(1996)Learning and Example Selection for Object
and Pattern Detection.Ph.D. Thesis,
Massachusetts Institute of Technology, 1995.
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Distances between Test Pattern and One Cluster
Figure is obtain from Sung, Kah Kay
(1996)Learning and Example Selection for Object
and Pattern Detection.Ph.D. Thesis,
Massachusetts Institute of Technology, 1995.
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Neural Network Classification

• 2-distance metric is discriminative for face and
  non-face patterns.
• 2 distances have different magnitude neural
  network performs the final classification.

Figure is obtain from Sung, Kah Kay
(1996)Learning and Example Selection for Object
and Pattern Detection.Ph.D. Thesis,
Massachusetts Institute of Technology, 1995.
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Experimental Results
Detection Rate 95.6 False Positive 0.6
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