Human facial expression mining based on cloud model

Shuliang Wang*, Hehua Chi, Xiao Feng, Jinfei Yin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Granular Computing, GRC 2009
Pages557-560
Number of pages4
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 IEEE International Conference on Granular Computing, GRC 2009 - Nanchang, China
Duration: 17 Aug 200919 Aug 2009

Publication series

Name2009 IEEE International Conference on Granular Computing, GRC 2009

Conference

Conference2009 IEEE International Conference on Granular Computing, GRC 2009
Country/TerritoryChina
CityNanchang
Period17/08/0919/08/09

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