DocumentCode :
3081452
Title :
Objective grading of facial paralysis using Local Binary Patterns in video processing
Author :
He, Shu ; Soraghan, John J. ; Reilly, Brian F O
Author_Institution :
Department of Electronic & Electrical Engineering at the University of Strathclyde, UK
fYear :
2008
fDate :
20-25 Aug. 2008
Firstpage :
4805
Lastpage :
4808
Abstract :
This paper presents a novel framework for objective measurement of facial paralysis in biomedial videos. The motion information in the horizontal and vertical directions and the appearance features on the apex frames are extracted based on the Local Binary Patterns (LBP) on the temporal-spatial domain in each facial region. These features are temporally and spatially enhanced by the application of block schemes. A multi-resolution extension of uniform LBP is proposed to efficiently combine the micro-patterns and large-scale patterns into a feature vector, which increases the algorithmic robustness and reduces noise effects while still retaining computational simplicity. The symmetry of facial movements is measured by the Resistor-Average Distance (RAD) between LBP features extracted from the two sides of the face. Support Vector Machine (SVM) is applied to provide quantitative evaluation of facial paralysis based on the House-Brackmann (H-B) Scale. The proposed method is validated by experiments with 197 subject videos, which demonstrates its accuracy and efficiency.
Keywords :
Biomedical measurements; Data mining; Eyebrows; Face detection; Feature extraction; Image motion analysis; Large-scale systems; Motion measurement; Optical computing; Support vector machines; Facial Image Analysis; Facial Paralysis Measurement; Local Binary Patterns; Algorithms; Artificial Intelligence; Facial Expression; Facial Paralysis; Humans; Image Interpretation, Computer-Assisted; Movement; Photography; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Video Recording;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
ISSN :
1557-170X
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2008.4650288
Filename :
4650288
Link To Document :
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