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
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;
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
DOI :
10.1109/WKDD.2010.145