Evaluation of Facial Paralysis Degrees Using Multi-Resolution Analysis

DOI

10.2991/cisia-15.2015.177How to use a DOI?

Keywords

facial paralysis; multi-resolution analysis; wavelet decomposition

Abstract

Facial paralysis is a common clinical condition occurring in the rate 20 to 25 patients per 100,000 people per year. An objective quantitative tool to support medical diagnostics is necessary. This paper proposes a robust method that decomposes the images into multi frequencies-space domain, and then features are extracted for classification using a support vector machine (SVM). The method analyses the images in frequency-space domain, so it overcomes the problems of other techniques such as the change of illumination, noise and redundant frequencies. Experiments show that our proposed method outperforms other techniques testing on a dynamic facial expression image database.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - T.H Ngo
AU  - Y.W Chen
AU  - M. Seo
AU  - N. Matsushiro
PY  - 2015/06
DA  - 2015/06
TI  - Evaluation of Facial Paralysis Degrees Using Multi-Resolution Analysis
BT  - Proceedings of the International Conference on Computer Information Systems and Industrial Applications
PB  - Atlantis Press
SP  - 648
EP  - 651
SN  - 2352-538X
UR  - https://doi.org/10.2991/cisia-15.2015.177
DO  - 10.2991/cisia-15.2015.177
ID  - Ngo2015/06
ER  -