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Volumn 24, Issue 3, 2001, Pages 345-356

Automated facial expression recognition system using neural networks

Author keywords

Facial action unit; Facial expression recognition; Neural classifier; Point contour detection method

Indexed keywords

COMPUTER SIMULATION; COMPUTER VISION; EDGE DETECTION; FEATURE EXTRACTION; MATHEMATICAL MORPHOLOGY; MULTILAYER NEURAL NETWORKS; PATTERN RECOGNITION SYSTEMS; RADIAL BASIS FUNCTION NETWORKS;

EID: 0035333248     PISSN: 02533839     EISSN: 21587299     Source Type: Journal    
DOI: 10.1080/02533839.2001.9670632     Document Type: Article
Times cited : (26)

References (25)
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  • 8
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  • 9
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    • Human Facial Feature Extraction for Face Interpretation and Recognition
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    • Huang, C.L.1    Chen, C.W.2
  • 14
    • 0000337402 scopus 로고
    • Recognition of Facial Expression From Optical flow
    • Mase, K., 1991. “Recognition of Facial Expression From Optical flow”. IEICE Transactions, 74 (10):3474–3483.
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  • 18
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    • Human Expression Recognition from Motion Using a Radial Basis Function Network Architecture
    • Rosenblum, M., Yacoob, Y., and Davis, L.S., 1996. “Human Expression Recognition from Motion Using a Radial Basis Function Network Architecture”. IEEE Transactions on Neural Networks, 7 (5):1121–1138.
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    • Shackleton, M.A., and Welsh, W.J., “Classification of Facial Features for Recognition”. Proceedings, IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Los Alamitos, CA. pp. 573–579.
    • Classification of Facial Features for Recognition , pp. 573-579
    • Shackleton, M.A.1    Welsh, W.J.2
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    • Proceedings, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Los Alamitos, CA.
    • Turk, M.A., and Pentland, A.P., “Face Recognition Using Eigenfaces”. Proceedings, IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Los Alamitos, CA. pp. 586–591.
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    • Feature-Based Facial Expression Recognition: Sensitivity Analysis and Experiments with a Multilayer Perceptron
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    • Zhang, Z.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.