Non-rigid registration of 3D facial surfaces with robust outlier detection
Non-rigid registration of 3D facial surfaces is a crucial step in a variety of applications. Outliers, i.e., features in a facial surface that are not present in the reference face, often perturb the registration process. In this paper, we present a novel method which registers facial surfaces relia...
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creator | Kaiser, M. Stormer, A. Arsic, D. Rigoll, G. |
description | Non-rigid registration of 3D facial surfaces is a crucial step in a variety of applications. Outliers, i.e., features in a facial surface that are not present in the reference face, often perturb the registration process. In this paper, we present a novel method which registers facial surfaces reliably also in the presence of huge outlier regions. A cost function incorporating several channels (red, green, blue, etc.) is proposed. The weight of each point of the facial surface in the cost function is controlled by a weight map, which is learned iteratively. Ideally, outliers will get a zero weight so that their disturbing effect is decreased. Results show that with an intelligent initialization the weight map improves the registration results considerably. |
doi_str_mv | 10.1109/WACV.2009.5403053 |
format | Conference Proceeding |
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Results show that with an intelligent initialization the weight map improves the registration results considerably.</description><subject>Application software</subject><subject>Conformal mapping</subject><subject>Cost function</subject><subject>Face detection</subject><subject>Facial animation</subject><subject>Glass</subject><subject>Least squares methods</subject><subject>Mouth</subject><subject>Robustness</subject><subject>Surface treatment</subject><issn>1550-5790</issn><issn>2642-9381</issn><isbn>9781424454976</isbn><isbn>1424454972</isbn><isbn>1424454980</isbn><isbn>9781424454983</isbn><isbn>9781424454969</isbn><isbn>1424454964</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1UNtKAzEUjDew1v0A8SU_sOtJTrK7eSz1TtGXoo8lmz2pkbUrSYr491asw8AMDDMPw9iFgEoIMFevs_lLJQFMpRUgaDxgZ0JJpbQyLRyyiayVLA224ogVpmn_s6Y-ZhOhNZS6MXDKipTeYQelJQqYsMencVPGsA49j7QOKUebw7jho-d4zb11wQ48bePOUeJfIb_xOHbblPm4zUOgyHvK5H475-zE2yFRsdcpW97eLOf35eL57mE-W5TBQC474aHXhB0ZrdGgxU7X1qGDFsh5iQRemh2da3phpBK2a0nWvgPTeKFwyi7_ZgMRrT5j-LDxe7V_BX8AbOlR5Q</recordid><startdate>200912</startdate><enddate>200912</enddate><creator>Kaiser, M.</creator><creator>Stormer, A.</creator><creator>Arsic, D.</creator><creator>Rigoll, G.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200912</creationdate><title>Non-rigid registration of 3D facial surfaces with robust outlier detection</title><author>Kaiser, M. ; Stormer, A. ; Arsic, D. ; Rigoll, G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-b1f0d5e3be955393a3b56ac3c080ecf23e0f29f29cc7d19241ab8e26fb097f143</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Application software</topic><topic>Conformal mapping</topic><topic>Cost function</topic><topic>Face detection</topic><topic>Facial animation</topic><topic>Glass</topic><topic>Least squares methods</topic><topic>Mouth</topic><topic>Robustness</topic><topic>Surface treatment</topic><toplevel>online_resources</toplevel><creatorcontrib>Kaiser, M.</creatorcontrib><creatorcontrib>Stormer, A.</creatorcontrib><creatorcontrib>Arsic, D.</creatorcontrib><creatorcontrib>Rigoll, G.</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 Electronic Library (IEL)</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>Kaiser, M.</au><au>Stormer, A.</au><au>Arsic, D.</au><au>Rigoll, G.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Non-rigid registration of 3D facial surfaces with robust outlier detection</atitle><btitle>2009 Workshop on Applications of Computer Vision (WACV)</btitle><stitle>WACV</stitle><date>2009-12</date><risdate>2009</risdate><spage>1</spage><epage>6</epage><pages>1-6</pages><issn>1550-5790</issn><eissn>2642-9381</eissn><isbn>9781424454976</isbn><isbn>1424454972</isbn><eisbn>1424454980</eisbn><eisbn>9781424454983</eisbn><eisbn>9781424454969</eisbn><eisbn>1424454964</eisbn><abstract>Non-rigid registration of 3D facial surfaces is a crucial step in a variety of applications. Outliers, i.e., features in a facial surface that are not present in the reference face, often perturb the registration process. In this paper, we present a novel method which registers facial surfaces reliably also in the presence of huge outlier regions. A cost function incorporating several channels (red, green, blue, etc.) is proposed. The weight of each point of the facial surface in the cost function is controlled by a weight map, which is learned iteratively. Ideally, outliers will get a zero weight so that their disturbing effect is decreased. Results show that with an intelligent initialization the weight map improves the registration results considerably.</abstract><pub>IEEE</pub><doi>10.1109/WACV.2009.5403053</doi><tpages>6</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Application software Conformal mapping Cost function Face detection Facial animation Glass Least squares methods Mouth Robustness Surface treatment |
title | Non-rigid registration of 3D facial surfaces with robust outlier detection |
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