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Face recognition
2015/01/09ked
Introduction Taxonomy (分類法 ) Methods Human perception
Introduction Taxonomy Methods Human perception
Face recognition
Face is the most common biometric used by humans
Applications: Static, mug-shot verification
Mug-shot: 特寫鏡頭、面部照片 Dynamic, uncontrolled face identification
The difficulties
Identify inter-class similarity Accommodate intra-class variability
The difficulties
Identify inter-class similarity Accommodate intra-class variability
The difficulties
Identify inter-class similarity Accommodate intra-class variability
The difficulties
Identify inter-class similarity Accommodate intra-class variability
The difficulties
Identify inter-class similarity Accommodate intra-class variability
Head pose Illumination Expression Facial accessories
Accessory 配件 Aging effect
The difficulties
Identify inter-class similarity Accommodate intra-class variability
Head pose Illumination Expression Facial accessories
Accessory 配件 Aging effect
Dynamic, uncontrolled face identification
Introduction Taxonomy Methods Human perception
Pattern recognition architecture
Image Face representation
Feature extraction
Classification
Result
Introduction Taxonomy Methods Human perception
Dimensionality reduction
Eigenfaces (PCA) Fisherfaces (LDA, linear discriminate analysis)
Dimensionality reduction
Eigenfaces (PCA) Fisher faces (LDA)
Dimensionality reduction
Eigenfaces (PCA) Fisher faces (LDA)
Eigenfaces vs. fisherfaces
Fisherfaces are not orthogonal
Better?
Introduction Taxonomy Methods Human perception
Who?
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Who?
Who?
Who?
Who?
Who?
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Who?
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?
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Thx.
