Facial shape analysis based on Euclidean distance matrix analysis

Guiying Zhai; Fu Ren; Guangxia Zhang; Martin Evison

doi:10.1109/BMEI.2011.6098736

Facial shape analysis based on Euclidean distance matrix analysis

Guiying Zhai, Fu Ren, Guangxia Zhang, Martin Evison

Applied Sciences Department

Research output: Contribution to conference › Paper › peer-review

1 Citation (Scopus)

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.

Original language	English
DOIs	https://doi.org/10.1109/BMEI.2011.6098736
Publication status	Published - Dec 2011
Event	4th International Conference on Biomedical Engineering and Informatics (BMEI) - Shanghai, China Duration: 1 Dec 2011 → …

Conference

Conference	4th International Conference on Biomedical Engineering and Informatics (BMEI)
Period	1/12/11 → …

Keywords

ageing
ear
Euclidean distance
face
frequency division multiplexing
mouth
shape

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10.1109/BMEI.2011.6098736

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title = "Facial shape analysis based on Euclidean distance matrix analysis",

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 = "ageing, ear, Euclidean distance, face, frequency division multiplexing, mouth, shape",

author = "Guiying Zhai and Fu Ren and Guangxia Zhang and Martin Evison",

year = "2011",

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language = "English",

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T1 - Facial shape analysis based on Euclidean distance matrix analysis

AU - Zhai, Guiying

AU - Ren, Fu

AU - Zhang, Guangxia

AU - Evison, Martin

PY - 2011/12

Y1 - 2011/12

N2 - 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.

AB - 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.

KW - ageing

KW - ear

KW - Euclidean distance

KW - face

KW - frequency division multiplexing

KW - mouth

KW - shape

U2 - 10.1109/BMEI.2011.6098736

DO - 10.1109/BMEI.2011.6098736

M3 - Paper

T2 - 4th International Conference on Biomedical Engineering and Informatics (BMEI)

Y2 - 1 December 2011

ER -

Facial shape analysis based on Euclidean distance matrix analysis

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Keywords

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