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Mouth Detection Based on Interest Point
PCA had been used on detection of face successfully before. Although PCA had also been used on detection of mouth and eye, it has low detection rate on mouth detection. Because mouth has more pose than eye and PCA can be affected by illumination easily. Interest point has been a popular way on objec...
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creator | Wang Li Ye Hua Xia Liangzheng |
description | PCA had been used on detection of face successfully before. Although PCA had also been used on detection of mouth and eye, it has low detection rate on mouth detection. Because mouth has more pose than eye and PCA can be affected by illumination easily. Interest point has been a popular way on object detection because of its stable property. This paper use Harris corner interest point on mouth detection with PCA probability model. The experiment result shows that the correct rate and the accuracy of mouth position have all been enhanced. |
doi_str_mv | 10.1109/CHICC.2006.4347541 |
format | conference_proceeding |
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Although PCA had also been used on detection of mouth and eye, it has low detection rate on mouth detection. Because mouth has more pose than eye and PCA can be affected by illumination easily. Interest point has been a popular way on object detection because of its stable property. This paper use Harris corner interest point on mouth detection with PCA probability model. The experiment result shows that the correct rate and the accuracy of mouth position have all been enhanced.</description><identifier>ISSN: 1934-1768</identifier><identifier>ISBN: 9787811240559</identifier><identifier>ISBN: 7811240556</identifier><identifier>EISBN: 7900719229</identifier><identifier>EISBN: 9787900719225</identifier><identifier>DOI: 10.1109/CHICC.2006.4347541</identifier><language>chi ; eng</language><publisher>IEEE</publisher><subject>Automation ; Face detection ; Interest Point Detection ; Laplace equations ; Lighting ; Mouth ; Mouth Detection ; Object detection ; PCA Probability Model ; Principal component analysis</subject><ispartof>2007 Chinese Control Conference, 2007, p.610-613</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/4347541$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54555,54920,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4347541$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Wang Li</creatorcontrib><creatorcontrib>Ye Hua</creatorcontrib><creatorcontrib>Xia Liangzheng</creatorcontrib><title>Mouth Detection Based on Interest Point</title><title>2007 Chinese Control Conference</title><addtitle>CHICC</addtitle><description>PCA had been used on detection of face successfully before. Although PCA had also been used on detection of mouth and eye, it has low detection rate on mouth detection. Because mouth has more pose than eye and PCA can be affected by illumination easily. Interest point has been a popular way on object detection because of its stable property. This paper use Harris corner interest point on mouth detection with PCA probability model. The experiment result shows that the correct rate and the accuracy of mouth position have all been enhanced.</description><subject>Automation</subject><subject>Face detection</subject><subject>Interest Point Detection</subject><subject>Laplace equations</subject><subject>Lighting</subject><subject>Mouth</subject><subject>Mouth Detection</subject><subject>Object detection</subject><subject>PCA Probability Model</subject><subject>Principal component analysis</subject><issn>1934-1768</issn><isbn>9787811240559</isbn><isbn>7811240556</isbn><isbn>7900719229</isbn><isbn>9787900719225</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2007</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotjztPwzAURo0Aibb0D8CSjSnhXtuxfUcIj0YqggHmyo8bEQQJSszAv6cSnb6znCN9QlwgVIhA182mbZpKAphKK21rjUdiaQnAIklJx2JN1lmHKDXUNZ2IBZLSJVrjzsRynj_2JhCqhbh6Gn_ye3HHmWPux6G49TOnYg_tkHniORcvYz_kc3Ha-c-Z14ddibeH-9dmU26fH9vmZlv2CHUuu5QMGBcIuHPsgYiT05qtSsF67SECmiA9hqhYQYzSQEjRKWs9Aga1Epf_3Z6Zd99T_-Wn393hpPoDD_NCqA</recordid><startdate>200707</startdate><enddate>200707</enddate><creator>Wang Li</creator><creator>Ye Hua</creator><creator>Xia Liangzheng</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200707</creationdate><title>Mouth Detection Based on Interest Point</title><author>Wang Li ; Ye Hua ; Xia Liangzheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i105t-fdd6068b90ef8ea099ed844e73db7a4a0c016b2a1bc3e30cc260bdc8377a101b3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>chi ; eng</language><creationdate>2007</creationdate><topic>Automation</topic><topic>Face detection</topic><topic>Interest Point Detection</topic><topic>Laplace equations</topic><topic>Lighting</topic><topic>Mouth</topic><topic>Mouth Detection</topic><topic>Object detection</topic><topic>PCA Probability Model</topic><topic>Principal component analysis</topic><toplevel>online_resources</toplevel><creatorcontrib>Wang Li</creatorcontrib><creatorcontrib>Ye Hua</creatorcontrib><creatorcontrib>Xia Liangzheng</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>Wang Li</au><au>Ye Hua</au><au>Xia Liangzheng</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Mouth Detection Based on Interest Point</atitle><btitle>2007 Chinese Control Conference</btitle><stitle>CHICC</stitle><date>2007-07</date><risdate>2007</risdate><spage>610</spage><epage>613</epage><pages>610-613</pages><issn>1934-1768</issn><isbn>9787811240559</isbn><isbn>7811240556</isbn><eisbn>7900719229</eisbn><eisbn>9787900719225</eisbn><abstract>PCA had been used on detection of face successfully before. Although PCA had also been used on detection of mouth and eye, it has low detection rate on mouth detection. Because mouth has more pose than eye and PCA can be affected by illumination easily. Interest point has been a popular way on object detection because of its stable property. This paper use Harris corner interest point on mouth detection with PCA probability model. The experiment result shows that the correct rate and the accuracy of mouth position have all been enhanced.</abstract><pub>IEEE</pub><doi>10.1109/CHICC.2006.4347541</doi><tpages>4</tpages></addata></record> |
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identifier | ISSN: 1934-1768 |
ispartof | 2007 Chinese Control Conference, 2007, p.610-613 |
issn | 1934-1768 |
language | chi ; eng |
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source | IEEE Xplore All Conference Series |
subjects | Automation Face detection Interest Point Detection Laplace equations Lighting Mouth Mouth Detection Object detection PCA Probability Model Principal component analysis |
title | Mouth Detection Based on Interest Point |
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