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Volumn 5524 LNCS, Issue , 2009, Pages 176-183

HOG-based decision tree for facial expression classification

Author keywords

Decision Trees; Facial expression; HOG; SVM

Indexed keywords

BAYESIAN FORMULATION; BOTTOM-UP STRATEGY; CONTROLLED ENVIRONMENT; DECISION PROCESS; DESCRIPTORS; EDGE DISTRIBUTION; EMOTIONAL STATE; FACIAL EXPRESSION; FACIAL EXPRESSION CLASSIFICATION; FACIAL EXPRESSIONS; HIERARCHICAL DECISION TREES; HOG; HUMAN EMOTION; LOG LIKELIHOOD; SVM; TRAINING SETS;

EID: 68749108524     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02172-5_24     Document Type: Conference Paper
Times cited : (31)

References (11)
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  • 2
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  • 3
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    • Recognizing Human Facial Expressions
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    • Yacoob, Y.1    Davis, L.S.2
  • 5
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    • Real time facial expression recognition in video using suport vector machines
    • ACM, New York
    • Michel, P., El Kaliouby, R.: Real time facial expression recognition in video using suport vector machines. In: Proc. Int. Conf. on Multimodal Interfaces, pp. 258-264. ACM, New York (2003)
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    • Michel, P.1    El Kaliouby, R.2
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    • Dynamic texture recognition using local binary patters with an application to facial expressions
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    • Zhao, G.1    Piettikäinen, M.2
  • 7
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    • de la Torre, F., Campoy, J., Ambadar, Z., Cohn, J.: Temporal segmentation of facial behavior. In: International Conference on Computer Vision (October 2007)
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    • http://en.wikipedia.org/wiki/Histogram-of-oriented-gradients


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.