Facial expression recognition using a combination of multiple facial features and support vector machine-Reference-Cited by-同舟云学术

Facial expression recognition using a combination of multiple facial features and support vector machine

Published:2017-05-19 Issue:13 Volume:22 Page:4389-4405
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Tsai Hung-Hsu,Chang Yi-Cheng

Funder

National Science Council Taiwan (TW)

Ministry of Science and Technology, Taiwan (TW)

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

http://link.springer.com/article/10.1007/s00500-017-2634-3/fulltext.html

Reference35 articles.

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3. Chai Z, Vazquez MH, He R, Sun Z, Tan T (2014) Explore semantic pixel sets based local patterns with information entropy for face recognition. EURASIP J Image Video Process 26:1–11

4. Chang CC, Lin CJ (2011) LIBSVM: a library for support vector machines. ACM Trans Intell Syst Technol 2:1–27. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm

5. Chen HY, Huang CL, Fu CM (2008) Hybrid-boost learning for multi-pose face detection and facial expression recognition. Pattern Recogn 41:1173–1185

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