DocumentCode :
3422572
Title :
Human facial expression mining based on cloud model
Author :
Wang, Shuliang ; Chi, Hehua ; Feng, Xiao ; Yin, Jinfei
Author_Institution :
Int. Sch. of Software, Wuhan Univ., Wuhan, China
fYear :
2009
fDate :
17-19 Aug. 2009
Firstpage :
557
Lastpage :
560
Abstract :
In order to make the human facial expression recognition and analysis effectively, cloud model is used to mine the knowledge of human facial expression in this paper. Backward cloud generator without certainty degree treats the original input image as a cloud droplet image. The outputs are used to describe the three numerical characteristics-(Ex, En, He). How the three numerical characteristics of the cloud model (Ex, En, He) to embody the knowledge of facial expression? With two different sets of original images, two experiments are made to explain the specific meaning of the three numerical characteristics (Ex, En, He). Under the experiments, the profound knowledge may be extracted on the facial expression, i.e. Ex is the common of standard face, En is the difference, and He is the range of the difference.
Keywords :
data mining; face recognition; numerical analysis; backward cloud generator; cloud droplet image; human facial expression mining; human facial expression recognition; numerical characteristics; Clouds; Electronic mail; Entropy; Face recognition; Helium; Humans; Mathematical model; Measurement uncertainty; Shape; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Granular Computing, 2009, GRC '09. IEEE International Conference on
Conference_Location :
Nanchang
Print_ISBN :
978-1-4244-4830-2
Type :
conf
DOI :
10.1109/GRC.2009.5255059
Filename :
5255059
Link To Document :
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