Title
New semantic descriptor construction for facial expression recognition based on axiomatic fuzzy set.
Abstract
In this paper, we propose a new semantic descriptor based on axiomatic fuzzy set (AFS) to describe facial expressions. The new descriptor has two advantages: The first one is that it does not depend on priori-knowledge, when one uses it to construct semantic concepts. According to the distribution of feature data, one can quickly establish semantic concepts using the fuzzy membership degree. The second one is that the descriptor can describe complex features by implementing operation on semantic concepts. The developed descriptor can provide variations and relations of expression features. Finally, we implement our method on FEI and CK+ database, and make semantic interpretations for various expressions. Meanwhile, the performance is evaluated with the state-of-the-art methods such as C4.5, Bayes, Decision Table, Cart and Reduced error pruning tree.
Year
DOI
Venue
2018
https://doi.org/10.1007/s11042-017-4818-3
Multimedia Tools Appl.
Keywords
Field
DocType
Semantic descriptor,Axiomatic fuzzy set,Expression features,Semantic interpretation
Semantic similarity,Decision table,Pattern recognition,Expression (mathematics),Computer science,Fuzzy logic,Semantic interpretation,Fuzzy set,Artificial intelligence,Semantic computing,Feature data
Journal
Volume
Issue
ISSN
77
10
1380-7501
Citations 
PageRank 
References 
0
0.34
31
Authors
5
Name
Order
Citations
PageRank
Zedong Li1223.39
Qingling Zhang21353100.93
Duan Xiaodong38516.18
Cun-rui Wang4195.21
Yu Shi5164.42