A depth video-based facial expression recognition system using radon transform, generalized discriminant analysis, and hidden Markov model
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| 003 | CHVBK | ||
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| 008 | 210128e20150601xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s11042-013-1793-1 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s11042-013-1793-1 | ||
| 245 | 0 | 2 | |a A depth video-based facial expression recognition system using radon transform, generalized discriminant analysis, and hidden Markov model |h [Elektronische Daten] |c [Md. Uddin, Mohammad Hassan] |
| 520 | 3 | |a In this paper, a depth camera-based novel method is proposed to recognize several facial expressions from depth video. At first, Radon Transformation (RT) is done to extract features from the time-sequential depth faces that are further improved by Generalized Discriminant Analysis (GDA) to generate more robust features and then, Hidden Markov Models (HMMs) are applied to train and recognize different facial expressions successfully. Performance of the proposed facial expression recognition shows the superiority over conventional RGB camera-based approaches. | |
| 540 | |a Springer Science+Business Media New York, 2013 | ||
| 690 | 7 | |a Facial expression recognition |2 nationallicence | |
| 690 | 7 | |a Depth video |2 nationallicence | |
| 690 | 7 | |a Radon transformation |2 nationallicence | |
| 700 | 1 | |a Uddin |D Md |u Department of Computer Education, Sungkyunkwan University, Seoul, Republic of Korea |4 aut | |
| 700 | 1 | |a Hassan |D Mohammad |u Department of Information Systems, College of Computer and Information Sciences, King Saud University, Riyadh, KSA, Saudi Arabia |4 aut | |
| 773 | 0 | |t Multimedia Tools and Applications |d Springer US; http://www.springer-ny.com |g 74/11(2015-06-01), 3675-3690 |x 1380-7501 |q 74:11<3675 |1 2015 |2 74 |o 11042 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s11042-013-1793-1 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s11042-013-1793-1 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Uddin |D Md |u Department of Computer Education, Sungkyunkwan University, Seoul, Republic of Korea |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Hassan |D Mohammad |u Department of Information Systems, College of Computer and Information Sciences, King Saud University, Riyadh, KSA, Saudi Arabia |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Multimedia Tools and Applications |d Springer US; http://www.springer-ny.com |g 74/11(2015-06-01), 3675-3690 |x 1380-7501 |q 74:11<3675 |1 2015 |2 74 |o 11042 | ||