Using Moment Invariants and HMM in Facial Expression Recognition

S
SSIAI
2000
4th IEEE Southwest Symposium on Image Analysis and Interpretation
Abstract - Using Moment Invariants and HMM in Facial Expression Recognition

	This Article
	Subscribers, please Login Purchase article: $19 PDF IEEE Xplore Subscribers RSS feed
	Share
	Email this Article to a friend
	Bibliographic References
	ASCII Text BibTex RefWorks Procite/RefMan
	Add to:
	Digg Furl Spurl Blink Simpy Google Del.icio.us Y!MyWeb
	Search
	Similar Articles Articles by Y Zhu Articles by L C de Silva Articles by C C Ko

4th IEEE Southwest Symposium on Image Analysis and Interpretation

Austin, Texas

April 02-April 04

ISBN: 0-7695-0595-3

	ASCII Text	x
	Y Zhu, L C de Silva, C C Ko, "Using Moment Invariants and HMM in Facial Expression Recognition," Image Analysis and Interpretation, IEEE Southwest Symposium on, pp. 305, 4th IEEE Southwest Symposium on Image Analysis and Interpretation, 2000.

	BibTex	x
	@article{ 10.1109/IAI.2000.839621, author = {Y Zhu and L C de Silva and C C Ko}, title = {Using Moment Invariants and HMM in Facial Expression Recognition}, journal ={Image Analysis and Interpretation, IEEE Southwest Symposium on}, volume = {0}, year = {2000}, isbn = {0-7695-0595-3}, pages = {305}, doi = {http://doi.ieeecomputersociety.org/10.1109/IAI.2000.839621}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Image Analysis and Interpretation, IEEE Southwest Symposium on TI - Using Moment Invariants and HMM in Facial Expression Recognition SN - 0-7695-0595-3 SP EP A1 - Y Zhu, A1 - L C de Silva, A1 - C C Ko, PY - 2000 KW - Facial Expression Recognition KW - Moment Invariant KW - HMM VL - 0 JA - Image Analysis and Interpretation, IEEE Southwest Symposium on ER -

Y Zhu, National University of Singapore

L C de Silva, National University of Singapore

C C Ko, National University of Singapore

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IAI.2000.839621

Moment invariants are invariant under shifting, scaling and rotation. They are widely used in pattern recognition because of their discrimination power and robustness. HMM method is a natural and highly reliable way of recognition. In this paper, we have proposed a method of using moment invariants as feature and HMM as recognition method in facial expression recognition. Sequences of four universal expressions, i.e. anger, disgust, happiness and surprise, are recognized. We attain accuracy as high as 93.75%.

Index Terms:

Facial Expression Recognition, Moment Invariant, HMM

Citation:

Y Zhu, L C de Silva, C C Ko, "Using Moment Invariants and HMM in Facial Expression Recognition," ssiai, pp.305, 4th IEEE Southwest Symposium on Image Analysis and Interpretation, 2000

Peer Review Notice | Give Us Feedback

Usage of this product signifies your acceptance of the Terms of Use.