facial expression recognition using facial movement features
DESCRIPTION
4th year 1st term Technical Paper Seminar PresentationTRANSCRIPT
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Facial Expression RecognitionUsing Facial
Movement Features
Ligang Zhang, Student Member, IEEE, and Dian Tjondronegoro
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, VOL. 2, NO. 4,
OCTOBER-DECEMBER 2011
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Presented by
Taslima AkterDept. of CSE
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Overview
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Proposed work
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Building Distance Features Patch-Based Feature Extraction Patch Matching Operation
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Patch-Based Feature Extraction
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Patch Matching Operation
Matching Area and Matching Scale Definition
Distance Metric Definition
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Matching Area and Matching Scale Definition
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Distance Metric Definition Dense L1(DL1) Dense L2(DL2) Sparse L1 (SL1) Sparse L2 (SL2)
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Databases JAFFE(Japanese Female Facial
Expression) CK(Cohn-Kanade AU coded facial
Expression)
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Experimental Results
• JAFFE
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Experimental Results
• JAFFE Database
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Experimental Results
• CK Database
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Experimental Results
• CK Database
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Comparison with State-of the-Art Performance
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Conclusion
• Show better performances• For both the JAFFE and CK databases, • DL2 performs the best among four
distances.• The JAFFE database requires larger sizes
of patches than the CK database.
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Thank You