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Volumn , Issue , 2010, Pages 87-91

Development of a facial emotion recognition method based on combining AAM with DBN

Author keywords

Active appearance model; Dynamic Bayesian Network; Facial action coding system; Facial emotion recognition facial feature extraction

Indexed keywords

ACTIVE APPEARANCE MODELS; DATA SETS; DYNAMIC BAYESIAN NETWORK; FACIAL ACTION CODING SYSTEM; FACIAL EMOTIONS; FACIAL EXPRESSION RECOGNITION; FACIAL EXPRESSIONS; FACIAL IMAGE SEQUENCE; FEATURE DETECTION; IMAGE SEQUENCE; NOVEL METHODS; ON DYNAMICS; PROBABILISTIC FRAMEWORK; RECOGNITION ACCURACY; RECOGNITION PERFORMANCE;

EID: 78751529795     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CW.2010.65     Document Type: Conference Paper
Times cited : (37)

References (14)
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  • 3
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    • Zhang, Y.1    Ji, Q.2
  • 4
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    • Representing face images for emotion classification
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    • Padgett, C.1    Cottrell, G.2
  • 8
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    • April
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    • Mikkel B. Stegmann, "Analysis and Segmentation of Face Images using Point Annotations and Linear Subspace Techinques," informatics and mathematical modelling Lingby, Denmark: Tech. Univ. Denmark, IMM Tech. Rep. IMM-REP-2002-22, Aug. 2002.
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    • Stegmann, M.B.1
  • 12
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  • 14
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    • BioID-FaceDatabase


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.