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Volumn 3212, Issue , 2004, Pages 668-675

A coarse-to-fine classification scheme for facial expression recognition

Author keywords

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Indexed keywords

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EID: 26444582020     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30126-4_81     Document Type: Article
Times cited : (48)

References (14)
  • 2
    • 0037209464 scopus 로고    scopus 로고
    • Automatic facial expression analysis: A survey
    • B. Fasel and J. Luettin: Automatic facial expression analysis: A survey, Pattern Recognition, Vol. 36 (2003) 259-275
    • (2003) Pattern Recognition , vol.36 , pp. 259-275
    • Fasel, B.1    Luettin, J.2
  • 5
    • 0033311282 scopus 로고    scopus 로고
    • Feature-based facial expression recognition: Sensitivity analysis and experiment with a multi-layer perceptron
    • Z. Zhang: Feature-based facial expression recognition: Sensitivity analysis and experiment with a multi-layer perceptron, Pattern Recognition and Artificial Intelligence, Vol. 13(1999)893-911
    • (1999) Pattern Recognition and Artificial Intelligence , vol.13 , pp. 893-911
    • Zhang, Z.1
  • 7
    • 9744249863 scopus 로고    scopus 로고
    • Simultaneous feature selection and classifier training via linear programming: A case study for face expression recognition
    • G. D. Guo, C. R. Dyer: Simultaneous feature selection and classifier training via linear programming: A case study for face expression recognition. In: IEEE Conference on Computer Vision and Pattern Recognition. (2003) 346-352
    • (2003) IEEE Conference on Computer Vision and Pattern Recognition. , pp. 346-352
    • Guo, G.D.1    Dyer, C.R.2
  • 9
    • 25844449902 scopus 로고    scopus 로고
    • Head-pose invariant facial expression recognition using convolutional neural networks
    • B. Fasel: Head-pose invariant facial expression recognition using convolutional neural networks. In: Fourth IEEE Conference on Multimodal Interfaces. (2002) 529-534
    • (2002) Fourth IEEE Conference on Multimodal Interfaces , pp. 529-534
    • Fasel, B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.