DocumentCode
1861050
Title
Evaluation of Facial Paralysis Degree Based on Regions
Author
Li´an Liu ; Guanglin Cheng ; Junyu Dong ; Shengke Wang ; Haibin Qu
Author_Institution
Acupuncture & Tuina Dept., Qingdao Hiser Med. Center, Qingdao, China
fYear
2010
fDate
9-10 Jan. 2010
Firstpage
514
Lastpage
517
Abstract
Facial paralysis commonly results in complete loss of voluntary movement on one side of human face. Before making treatment strategy doctors need to estimate the degree of paralysis. Previous work only used a few salient points to achieve the goal, whereas this paper proposes a new method to quantitatively estimate the paralysis degree based on comparison of multiple regions on human face. For each patient, we capture four images and each image stands for one movement . Since these movements change the surface areas of specific facial regions, we can obtain the facial paralysis degree by calculating these changes. Experiments show that our method is effective and convenient in practice.
Keywords
edge detection; face recognition; feature extraction; facial paralysis degree evaluation; human face; salient points; treatment strategy; voluntary movement; Biomedical imaging; Data mining; Educational institutions; Eyebrows; Eyes; Face; Humans; Mouth; Nose; Pixel; evaluaation; facial paralysis; region separation;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge Discovery and Data Mining, 2010. WKDD '10. Third International Conference on
Conference_Location
Phuket
Print_ISBN
978-1-4244-5397-9
Electronic_ISBN
978-1-4244-5398-6
Type
conf
DOI
10.1109/WKDD.2010.145
Filename
5432513
Link To Document