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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
