Image Processing Reference
In-Depth Information
CHAPTER 26
A local feature-based facial
expression recognition system
from depth video
Md. Zia Uddin
Department of Computer Education, Sungkyunkwan University, Seoul, Republic of Korea
Abstract
In this chapter, a novel approach is proposed to recognize some facial expressions from time-sequential
depth videos. Local directional patern features are extracted from the time-sequential depth faces that
are followed by principal component analysis and linear discriminant analysis to make the features more
robust. Finally, the local features are applied with hidden Markov models to model and recognize difer-
ent facial expressions successfully. The proposed approach shows superior recognition rate against the
conventional approaches.
Keywords
Depth information
LDP
PCA
LDA
HMM
FER
ACKNOWLEDGEMENT
This work was supported by Faculty Research Fund, Sungkyunkwan University, 2013.
1 Introduction
Facial expression recognition (FER) provides machines a way of sensing emotions that can be
considered one of the mostly used artiicial intelligence and patern analysis applications [
1
-
10
]
.
In case of extracting peoples' expression images through Red Green Blue (RGB) cameras, most
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