A 3D Face Coordinate System for Expression-Changed Pose Alignment
3D face data have been increased recently with the development of 3D data acquisition technology. 3D face has extensive applications. A proper coordinate system defined on faces is sometimes necessary. However, building a canonical coordinate system for all the 3D faces presenting the physiological...
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creator | Ping Hu Weiguo Cao Hua Li Zongkai Lin |
description | 3D face data have been increased recently with the development of 3D data acquisition technology. 3D face has extensive applications. A proper coordinate system defined on faces is sometimes necessary. However, building a canonical coordinate system for all the 3D faces presenting the physiological vertical direction of human face is still an open question. In this paper, we propose a new 3D face canonical coordinate system based on the physiological structure of human face. Once locating the nose tip and finding the symmetry plane, we use the circular points on the face around the cheekbones to decide the front view, as the direction of the average normal of them is almost vertical to the center axis of human head. The experiment shows that our method is robust to rough data and provides a uniform description for all the 3D face models with different positions and expressions. |
doi_str_mv | 10.1109/ICIG.2009.133 |
format | Conference Proceeding |
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A proper coordinate system defined on faces is sometimes necessary. However, building a canonical coordinate system for all the 3D faces presenting the physiological vertical direction of human face is still an open question. In this paper, we propose a new 3D face canonical coordinate system based on the physiological structure of human face. Once locating the nose tip and finding the symmetry plane, we use the circular points on the face around the cheekbones to decide the front view, as the direction of the average normal of them is almost vertical to the center axis of human head. The experiment shows that our method is robust to rough data and provides a uniform description for all the 3D face models with different positions and expressions.</description><identifier>ISBN: 1424452376</identifier><identifier>ISBN: 9781424452378</identifier><identifier>DOI: 10.1109/ICIG.2009.133</identifier><identifier>LCCN: 2009940698</identifier><language>eng</language><publisher>IEEE</publisher><subject>Buildings ; Data acquisition ; Face detection ; Face recognition ; Facial animation ; Head ; Humans ; Nose ; Principal component analysis</subject><ispartof>2009 Fifth International Conference on Image and Graphics, 2009, p.847-852</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5437889$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5437889$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Ping Hu</creatorcontrib><creatorcontrib>Weiguo Cao</creatorcontrib><creatorcontrib>Hua Li</creatorcontrib><creatorcontrib>Zongkai Lin</creatorcontrib><title>A 3D Face Coordinate System for Expression-Changed Pose Alignment</title><title>2009 Fifth International Conference on Image and Graphics</title><addtitle>ICIG</addtitle><description>3D face data have been increased recently with the development of 3D data acquisition technology. 3D face has extensive applications. A proper coordinate system defined on faces is sometimes necessary. However, building a canonical coordinate system for all the 3D faces presenting the physiological vertical direction of human face is still an open question. In this paper, we propose a new 3D face canonical coordinate system based on the physiological structure of human face. Once locating the nose tip and finding the symmetry plane, we use the circular points on the face around the cheekbones to decide the front view, as the direction of the average normal of them is almost vertical to the center axis of human head. The experiment shows that our method is robust to rough data and provides a uniform description for all the 3D face models with different positions and expressions.</description><subject>Buildings</subject><subject>Data acquisition</subject><subject>Face detection</subject><subject>Face recognition</subject><subject>Facial animation</subject><subject>Head</subject><subject>Humans</subject><subject>Nose</subject><subject>Principal component analysis</subject><isbn>1424452376</isbn><isbn>9781424452378</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotzEFLwzAYgOGADHRzR09e8gda8yVpku9Y6jYLAwX1PNLm64ys7Wh6cP9exJ1eeA4vYw8gcgCBT3VV73IpBOag1A1bgpZaF1JZs2DLP0ctDLpbtk7pWwgB1hgJeMfKkqtnvvUt8WocpxAHPxN_v6SZet6NE9_8nCdKKY5DVn354UiBv42JeHmKx6GnYb5ni86fEq2vXbHP7eajesn2r7u6KvdZBFvMmWk8kdYCLTrsjKVWoimUV4UPZF0g6QAgCIcSgURDGBpwZFwjXNthq1bs8f8biehwnmLvp8uh0Mo6h-oXnHtIMQ</recordid><startdate>200909</startdate><enddate>200909</enddate><creator>Ping Hu</creator><creator>Weiguo Cao</creator><creator>Hua Li</creator><creator>Zongkai Lin</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200909</creationdate><title>A 3D Face Coordinate System for Expression-Changed Pose Alignment</title><author>Ping Hu ; Weiguo Cao ; Hua Li ; Zongkai Lin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-6baee44097989f67ec29653a35ade78de28111d089291e0be9db18e68b08cf9c3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Buildings</topic><topic>Data acquisition</topic><topic>Face detection</topic><topic>Face recognition</topic><topic>Facial animation</topic><topic>Head</topic><topic>Humans</topic><topic>Nose</topic><topic>Principal component analysis</topic><toplevel>online_resources</toplevel><creatorcontrib>Ping Hu</creatorcontrib><creatorcontrib>Weiguo Cao</creatorcontrib><creatorcontrib>Hua Li</creatorcontrib><creatorcontrib>Zongkai Lin</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/IET Electronic Library</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>Ping Hu</au><au>Weiguo Cao</au><au>Hua Li</au><au>Zongkai Lin</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A 3D Face Coordinate System for Expression-Changed Pose Alignment</atitle><btitle>2009 Fifth International Conference on Image and Graphics</btitle><stitle>ICIG</stitle><date>2009-09</date><risdate>2009</risdate><spage>847</spage><epage>852</epage><pages>847-852</pages><isbn>1424452376</isbn><isbn>9781424452378</isbn><abstract>3D face data have been increased recently with the development of 3D data acquisition technology. 3D face has extensive applications. A proper coordinate system defined on faces is sometimes necessary. However, building a canonical coordinate system for all the 3D faces presenting the physiological vertical direction of human face is still an open question. In this paper, we propose a new 3D face canonical coordinate system based on the physiological structure of human face. Once locating the nose tip and finding the symmetry plane, we use the circular points on the face around the cheekbones to decide the front view, as the direction of the average normal of them is almost vertical to the center axis of human head. The experiment shows that our method is robust to rough data and provides a uniform description for all the 3D face models with different positions and expressions.</abstract><pub>IEEE</pub><doi>10.1109/ICIG.2009.133</doi><tpages>6</tpages></addata></record> |
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subjects | Buildings Data acquisition Face detection Face recognition Facial animation Head Humans Nose Principal component analysis |
title | A 3D Face Coordinate System for Expression-Changed Pose Alignment |
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