Smile intensity recognition in real time videos: fuzzy system approach-Reference-Cited by-同舟云学术

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Smile intensity recognition in real time videos: fuzzy system approach

Published:2018-11-22 Issue:11 Volume:78 Page:15033-15052
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Vinola C. ,Vimala Devi K.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/content/pdf/10.1007/s11042-018-6890-8.pdf

Reference34 articles.

1. Baltrusaitis T et al (2011) Real-time inference of mental states from facial expressions and upper body gestures. In: Proc. of the IEEE Int'l Conference on Automatic Face and Gesture Recognition and Workshops, p 909–914. https://doi.org/10.1109/FG.2011.5771372

2. Chakraborty A et al Emotion recognition from facial expressions and its control using fuzzy logic. IEEE Trans Syst Man Cybern A Syst Hum 39(4):726–743. https://doi.org/10.1109/TSMCA.2009.2014645

3. Chen S, Tian YL, Liu Q, Metaxas DN (2013) Recognizing expressions from face and body gesture by temporal normalized motion and appearance features. Image Vis Comput 31:175–185. https://doi.org/10.1109/CVPRW.2011.5981880

4. Chen J, Ou Q, Chi Z, Fu H (2017) Smile detection in the wild with deep convolutional neural networks. Mach Vis Appl 28(1–2):173–183. https://doi.org/10.1007/s00138-016-0817

5. Dornaika F, Moujahid A, Raducanu B (2013) Facial expression recognition using tracked facial actions: classifier performance analysis. Eng Appl Artif Intell 26:467–477. https://doi.org/10.1016/j.engappai.2012.09.002

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