EWU Institutional Repository

Facial Expression Recognition Using Signed Local Directional Pattern

Show simple item record

dc.contributor.author Das, Nayan
dc.contributor.author Hasan, Kazi Md. Jamil
dc.date.accessioned 2019-03-19T05:48:38Z
dc.date.available 2019-03-19T05:48:38Z
dc.date.issued 2018-04-22
dc.identifier.uri http://dspace.ewubd.edu/handle/2525/3003
dc.description This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering of East West University, Dhaka, Bangladesh. en_US
dc.description.abstract \Facial expression recognition has many implications nowadays. But due to lack of performance, human computer interaction is not a pleasurable experience yet. In this paper we have proposed a better version of the LDP (Local Directional Pattern). In the previous LDP calculation the Kirsch masks directional information were lost because of taking the absolute value. So we have proposed the sLDP approach. In this approach we are not going to lose the directional information of the Kirsch mask. Thats why we have taken the signed value for the LDP calculation. By applying sLDP we were able to get a signi cant improvement over the previous one for the 6-class expression of the cohn dataset. We also got a little bit of improvement of the 7-class expression as well. " en_US
dc.language.iso en_US en_US
dc.publisher East West University en_US
dc.relation.ispartofseries ;CSE00173
dc.subject Facial Expression Recognition Using Signed Local Directional Pattern en_US
dc.title Facial Expression Recognition Using Signed Local Directional Pattern en_US
dc.type Thesis en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account