Facial appearance and texture feature-based robust facial expression recognition framework for sentiment knowledge discovery-Reference-Cited by-同舟云学术

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Facial appearance and texture feature-based robust facial expression recognition framework for sentiment knowledge discovery

Published:2017-06-03 Issue:1 Volume:21 Page:549-567
ISSN:1386-7857
Container-title:Cluster Computing
language:en
Short-container-title:Cluster Comput

Author:

Sajjad Muhammad,Shah Adnan,Jan Zahoor,Shah Syed Inayat,Baik Sung Wook,Mehmood Irfan

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Link

http://link.springer.com/article/10.1007/s10586-017-0935-z/fulltext.html

Reference42 articles.

1. Mehrabian, A.: Nonverbal Communication. Transaction Publishers, Los Angeles (1972)

2. Ekman, P., Friesen, W.V., Hager, J.C.: A technique for the measurement of facial action. In: Facial action coding system (FACS), p. 22. Palo Alto, Consulting (1978)

3. Zhang, Y., Ji, Q.: Active and dynamic information fusion for facial expression understanding from image sequences. IEEE Trans. Pattern Anal. Mach. Intell. 27(5), 699–714 (2005)

4. Shan, C., Gong, S., McOwan, P.W.: Facial expression recognition based on local binary patterns: a comprehensive study. Image Vis. Comput. 27(6), 803–816 (2009)

5. Song, K.T., Chien, S.C.: Facial expression recognition based on mixture of basic expressions and intensities. In: 2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE (2012)

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