A novel method to achieve optimization in facial expression recognition using HMM

Author

Devi, D. Nagarjuna ; Rao, M V V R Murali Krishna

Author_Institution

CSE Dept., RGUIIIT, Nuzvid, India

fYear

2015

fDate

2-3 Jan. 2015

Firstpage

48

Lastpage

52

Abstract

Human-Computer Interaction is an emerging field of Computer Science where, Computer Vision, especially facial expression recognition occupies an essential role. There are so many approaches to resolve this problem, among them HMM is a considerable one. This paper aims to achieve optimization in both, the usage of number of states and the time complexity of HMM runtime. It also focusses to enable parallel processing which aims to process more than one image simultaneously.

Keywords

computational complexity; computer vision; face recognition; hidden Markov models; human computer interaction; optimisation; parallel processing; HMM runtime complexity; computer vision; facial expression recognition; human-computer interaction; optimization; parallel processing; Educational institutions; Face recognition; Hidden Markov models; Mouth; Optimization; Parallel processing; Time complexity; Hidden Markov Models; Mealy Machine; Optimization; Parallel Processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing And Communication Engineering Systems (SPACES), 2015 International Conference on

Conference_Location

Guntur

Type

conf

DOI

10.1109/SPACES.2015.7058210

Filename

7058210