Facial shape analysis based on Euclidean distance matrix analysis
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 diff...
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creator | Guiying Zhai Fu Ren Guangxia Zhang Evison, M. |
description | 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. |
doi_str_mv | 10.1109/BMEI.2011.6098736 |
format | Conference Proceeding |
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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. 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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.</description><subject>Aging</subject><subject>Ear</subject><subject>Euclidean distance</subject><subject>Euclidean Distance Matrix Analysis</subject><subject>Face</subject><subject>Facial Shape analysis</subject><subject>Frequency division multiplexing</subject><subject>Geometric Morphometric</subject><subject>Mouth</subject><subject>Shape</subject><issn>1948-2914</issn><issn>1948-2922</issn><isbn>142449351X</isbn><isbn>9781424493517</isbn><isbn>9781424493524</isbn><isbn>1424493528</isbn><isbn>1424493501</isbn><isbn>9781424493500</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo9kM1Kw0AUhcc_sNY8gLiZF0icO7-5y1pSLVTcdOGu3EwmOJLGkolg395Ca8_mcPgOZ3EYewBRAAh8en6rloUUAIUVWDplL1iGrgQttUZlpL5kE0Bd5hKlvGJ3_wA-rs8A9C3LUvoSB1lbOiwnbLYgH6nj6ZN2gVNP3T7FxGtKoeHfPa9-fBebQD1vYhqp94FvaRzi77l7z25a6lLITj5l60W1nr_mq_eX5Xy2yiOKMZdANRkRwDqDIAhVQAWiRm183fpGmwClMi14ckZrrdAFR1JCLeiQrJqyx-NsDCFsdkPc0rDfnM5Qf_pfTYw</recordid><startdate>201110</startdate><enddate>201110</enddate><creator>Guiying Zhai</creator><creator>Fu Ren</creator><creator>Guangxia Zhang</creator><creator>Evison, M.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201110</creationdate><title>Facial shape analysis based on Euclidean distance matrix analysis</title><author>Guiying Zhai ; Fu Ren ; Guangxia Zhang ; Evison, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-21aba50e1675910a93e9310b945cbfcd45e1835f1ca75444397e7a221b0a44363</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Aging</topic><topic>Ear</topic><topic>Euclidean distance</topic><topic>Euclidean Distance Matrix Analysis</topic><topic>Face</topic><topic>Facial Shape analysis</topic><topic>Frequency division multiplexing</topic><topic>Geometric Morphometric</topic><topic>Mouth</topic><topic>Shape</topic><toplevel>online_resources</toplevel><creatorcontrib>Guiying Zhai</creatorcontrib><creatorcontrib>Fu Ren</creatorcontrib><creatorcontrib>Guangxia Zhang</creatorcontrib><creatorcontrib>Evison, M.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Guiying Zhai</au><au>Fu Ren</au><au>Guangxia Zhang</au><au>Evison, M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Facial shape analysis based on Euclidean distance matrix analysis</atitle><btitle>2011 4th International Conference on Biomedical Engineering and Informatics (BMEI)</btitle><stitle>BMEI</stitle><date>2011-10</date><risdate>2011</risdate><volume>4</volume><spage>1896</spage><epage>1900</epage><pages>1896-1900</pages><issn>1948-2914</issn><eissn>1948-2922</eissn><isbn>142449351X</isbn><isbn>9781424493517</isbn><eisbn>9781424493524</eisbn><eisbn>1424493528</eisbn><eisbn>1424493501</eisbn><eisbn>9781424493500</eisbn><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.</abstract><pub>IEEE</pub><doi>10.1109/BMEI.2011.6098736</doi><tpages>5</tpages></addata></record> |
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ispartof | 2011 4th International Conference on Biomedical Engineering and Informatics (BMEI), 2011, Vol.4, p.1896-1900 |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Aging Ear Euclidean distance Euclidean Distance Matrix Analysis Face Facial Shape analysis Frequency division multiplexing Geometric Morphometric Mouth Shape |
title | Facial shape analysis based on Euclidean distance matrix analysis |
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