Recognition of facial expressions using conceptual fuzzy sets

Author

Ushida, Hirohide ; Takagi, Tomohiro ; Yamaguchi, Toru

Author_Institution

Lab. for Int. Fuzzy Eng. Res., Yokohama, Japan

fYear

1993

fDate

1993

Firstpage

594

Abstract

A facial expression is a vague concept that is difficult to describe explicitly. Conceptual fuzzy sets (CFSs), which have the ability to explicitly represent vague concepts, are realized using bidirectional associative memories, and a multilayer structured CFS represents the meaning of a concept by various expressions in each layer. Multilayered reasoning in CFS has the capability of simultaneous abstract and concrete representation and of simultaneous top-down and bottom-up processing. CFS has been applied to the recognition of facial expressions and shown to achieve context-sensitive recognition

Keywords

content-addressable storage; face recognition; fuzzy set theory; inference mechanisms; uncertainty handling; abstract representation; bidirectional associative memories; bottom-up processing; conceptual fuzzy sets; concrete representation; context-sensitive recognition; facial expression recognition; multilayered reasoning; top-down processing; vague concept; Associative memory; Bidirectional control; Concrete; Face recognition; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Humans; Laboratories; Software engineering;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1993., Second IEEE International Conference on

Conference_Location

San Francisco, CA

Print_ISBN

0-7803-0614-7

Type

conf

DOI

10.1109/FUZZY.1993.327421

Filename

327421