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. "
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.
