Title :
Facial shape analysis based on Euclidean distance matrix analysis
Author :
Zhai, Guiying ; Ren, Fu ; Zhang, Guangxia ; Evison, Martin
Author_Institution :
Inst. of Anthropology, Liaoning Med. Univ., Jinzhou, China
Abstract :
Euclidean Distance Matrix Analysis (EDMA) is a relative and effective method for morphologic research, which is used to analyze subject forms by special landmarks determined by the anatomical prominences. Many researches have forced on the facial shape analysis, but there are few reports on the difference in the facial shape of different age groups. In this paper, we studied normal facial shape of adults (male and female) with different age using EDMA. By comparing the facial shape data of different age groups, we found that the change of male facial shape is more significant than female. The conclusions and related data are important, which can be used in the future research.
Keywords :
age issues; anthropometry; biomedical measurement; face recognition; geriatrics; adults; anatomical prominence; anthropometry; euclidean distance matrix analysis; facial shape analysis; morphologic research; Aging; Ear; Euclidean distance; Face; Frequency division multiplexing; Mouth; Shape; Euclidean Distance Matrix Analysis; Facial Shape analysis; Geometric Morphometric;
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2011 4th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-9351-7
DOI :
10.1109/BMEI.2011.6098736