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Automatic Recognition of Facial Expression Based on Computer Vision

   | 01 set 2015
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Cita

A. S. Ghotkar and G. K. Kharat, “Study of vision based hand gesture recognition using Indian sign language,” International Journal on Smart Sensing and Intelligent Systems, vol.7, no.1, 2014, pp. 96-114.10.21307/ijssis-2017-647 Search in Google Scholar

Y. Wang and Y. Zhang, “Object tracking based on machine vision and Improved svdd algorithm,” International Journal on Smart Sensing and Intelligent Systems, vol.8, no.1, 2015, pp.677-696.10.21307/ijssis-2017-778 Search in Google Scholar

F. Samaria and S. Young, “HMM-based architecture for face identification,” Image and Vision Computing, vol.12, No.8, 1994, pp. 537-543.10.1016/0262-8856(94)90007-8 Search in Google Scholar

C. Shan, S. Gong and P. W. McOwan, “Facial expression recognition based on local binary patterns: A comprehensive study,” Image and Vision Computing, vol.27, No.6, 2009, pp. 803816.10.1016/j.imavis.2008.08.005 Search in Google Scholar

X. Feng, M. Pietikäinen and A. Hadid, “Facial expression recognition based on local binary patterns,” Pattern Recognition and Image Analysis, vol.17, No.4, 2007, pp.592-598.10.1134/S1054661807040190 Search in Google Scholar

T. Xiang, M. K. H. Leung and S. Y. Cho, “Expression recognition using fuzzy spatiotemporal modeling,” Pattern Recognition, vol.41, No.1, 2008, pp.204-216.10.1016/j.patcog.2007.04.021 Search in Google Scholar

N. Neggaz, M. Besnassi and A. Benyettou, “Facial expression recognition,” Journal of Applied Sciences, vol.10, No.15, 2010, pp. 1572-79.10.3923/jas.2010.1572.1579 Search in Google Scholar

G. Zhao and M. Pietikäinen, “Boosted multi-resolution spatiotemporal descriptors for facial expression recognition,” Pattern recognition letters, vol.30, No.12, 2009, pp. 1117-27.10.1016/j.patrec.2009.03.018 Search in Google Scholar

K. Yu, Z. Wang, L. Zhuo, et al, “Learning realistic facial expressions from web images,” Pattern Recognition, vol.46, No.8, 2013, pp.2144-2155.10.1016/j.patcog.2013.01.032 Search in Google Scholar

S. Y. Fu, G. S. Yang and X. K. Kuai, “A spiking neural network based cortex-like mechanism and application to facial expression recognition,” Computational Intelligence and Neuroscience, pp.1-13. Online publication date: 1-Jan-2012.10.1155/2012/946589350182123193391 Search in Google Scholar

M. N. Dailey, G. W. Cottrell, C. Padgett, et al, “EMPATH: A neural network that categorizes facial expressions,” Journal of Cognitive Neuroscience, vol.14, No.8, 2002, 11581173.10.1162/089892902760807177 Search in Google Scholar

D. C. Turk, C. Dennis and R. Melzack, “The measurement of pain and the assessment of people experiencing pain,” Handbook of Pain Assessment, ed D. C. Turk and R. Melzack, New York: Guilford, 2nd edition: 2001, pp. 1-11. Search in Google Scholar

L. Wang, R. F. Li, and K. Wang, “A novel automatic facial expression recognition method based on AAM,” Journal of Computers, vol.9, No.3, 2014, pp.608-617.10.4304/jcp.9.3.608-617 Search in Google Scholar

K. M. Prkachin, “The consistency of facial expressions of pain: a comparison across modalities,” Pain, vol.3, No.5, 1992, pp. 297-306.10.1016/0304-3959(92)90213-U Search in Google Scholar

K. M. Prkachin and P. E. Solomon, “The structure, reliability and validity of pain expression: Evidence from patients with shoulder pain,” Pain, vol.2, No.139, 2008, pp.267-274.10.1016/j.pain.2008.04.010 Search in Google Scholar

S. Zhang, B. Jiang and T. Wang, “Facial expression recognition algorithm based on active shape model and gabor wavelet,” Journal of Henan University (Natural Science), vol.40, No.5, 2010, pp. 521-524. Search in Google Scholar

W. Zhang and L. M. Xia, “Pain expression recognition based on SLPP and MKSVM,” Int. J. Engineering and Manufacturing, No. 3, 2011, pp.69-74.10.5815/ijem.2011.03.11 Search in Google Scholar

K. W. Wan, K. M. Lam, and K. C. Ng, “An accurate active shape model for facial feature extraction,” Pattern Recognition Letters, vol.26, No. 15, 2005, pp.2409-23.10.1016/j.patrec.2005.04.015 Search in Google Scholar

T. F. Cootes, G. J. Edwards, C. J. Taylor, “Active appearance models,” Computer Vision— ECCV’98, Springer Berlin Heidelberg, 1998, pp. 484-498.10.1007/BFb0054760 Search in Google Scholar

B. Fasel and J. Luettin, “Automatic facial expression analysis: a survey,” Pattern recognition, vol.36, No.1, 2003, pp. 259-275.10.1016/S0031-3203(02)00052-3 Search in Google Scholar

B. Lucas and T. Kanade, “An iterative image restoration technique with an application to sereo vision,” Proceedings of the DARPA IU Workshop, 1981, pp.121-130. Search in Google Scholar

G. J. Burghouts and K. Schutte, “Spatio-temporal layout of human actions for improved bag- of-words action detection,” Pattern Recognition Letters, vol.34, No. 15, 2013, pp.1861-1869.10.1016/j.patrec.2013.01.024 Search in Google Scholar

D. M. Blei, A. Y. Ng and M. I. Jordan, “Latent dirichlet allocation,” The Journal of Machine Learning Research, No. 3, 2003, pp.993-1022. Search in Google Scholar

L. Shang and K. P Chan, “A temporal latent topic model for facial expression recognition,” Computer Vision–ACCV 2010, Springer Berlin Heidelberg, 2011, pp. 51-63.10.1007/978-3-642-19282-1_5 Search in Google Scholar

A. Bansal, S. Chaudhary and S. D. Roy, “A novel LDA and HMM-Based technique for emotion recognition from facial expressions,” Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction, Springer Berlin Heidelberg, 2013, pp. 19-26.10.1007/978-3-642-37081-6_3 Search in Google Scholar

F. Monay and D. Gatica-Perez, “Modeling semantic aspects for cross-media image indexing,” 2007 IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, No. 10, 2007, pp.1802-1817.10.1109/TPAMI.2007.109717699924 Search in Google Scholar

G. Sen Gupta, S.C. Mukhopadhyay and M Finnie, Wi-Fi Based Control of a Robotic Arm with Remote Vision, Proceedings of 2009 IEEE I2MTC Conference, Singapore, May 5-7, 2009, pp. 557-562.10.1109/IMTC.2009.5168512 Search in Google Scholar

H. Zhang, Z. Liu and H. Zhao, “Human activities for classification via feature points,” Information Technology Journal, vol.10, No. 5, 2011, pp.974-982.10.3923/itj.2011.974.982 Search in Google Scholar

J. C. Niebles, H. Wang and L. Fei-Fei, “Unsupervised learning of human action categories using spatial-temporal words,” International Journal of Computer Vision, vol.79, No3, 2008, pp.299-318.10.1007/s11263-007-0122-4 Search in Google Scholar

F. Cheng, J. Yu and H. Xiong, “Facial expression recognition in JAFFE dataset based on Gaussian process classification,” IEEE Transactions on Neural Networks, vol.21, No.10, 2010, pp.1685-1690.10.1109/TNN.2010.206417620729164Search in Google Scholar

eISSN:
1178-5608
Lingua:
Inglese
Frequenza di pubblicazione:
Volume Open
Argomenti della rivista:
Engineering, Introductions and Overviews, other