Face Alignment Based On Semi-Active Appearance Mode
In the information era, the technology of biological character recognition has attracted more and more attentions. In this paper, by investigating theories of active appearance model and inverse compositional image alignment algorithm, we mainly proposed a semi-active appearance model for face align...
Gespeichert in:
| Veröffentlicht in: | International journal on smart sensing and intelligent systems 2014-01, Vol.7 (4), p.1493-1515 |
|---|---|
| 1. Verfasser: | |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1515 |
|---|---|
| container_issue | 4 |
| container_start_page | 1493 |
| container_title | International journal on smart sensing and intelligent systems |
| container_volume | 7 |
| creator | Yan, Shiliang |
| description | In the information era, the technology of biological character recognition has attracted more and more attentions. In this paper, by investigating theories of active appearance model and inverse compositional image alignment algorithm, we mainly proposed a semi-active appearance model for face alignment based on improving the classical models in the aspects of computation complexity, easily suffering from light, angle and expression, and so on. Firstly, the model of active appearance and the algorithm of alignment are investigated. For the inefficiency of classic gradient descent method in the matching process, the inverse compositional image alignment algorithm is proposed. Then, through combining the active appearance model and Grey Level Co-occurrence Matrix, a novel semiactive appearance model is proposed, which has a simple calculation and higher accuracy of face alignment. Finally, experiments were designed to demonstrate the effectiveness of the proposed algorithms. |
| doi_str_mv | 10.21307/ijssis-2017-717 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2634103944</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2634103944</sourcerecordid><originalsourceid>FETCH-LOGICAL-c321t-572bf1d38c8c6eb4959baf309f68f518eefe27d38b9847b22fc5a205b4401c2e3</originalsourceid><addsrcrecordid>eNp1UM9LwzAUDqLg0N09FjxH85K0SS_CHE6FyQ7qOaTpy-jY2pp0yv57oxX04ru8D74fj_cRcgHsioNg6rrZxNhEyhkoqkAdkQmA0jQvmD7-g0_JNMYNSyNKrqCYELGwDrPZtlm3O2yH7NZGrLNVmz3jrqEzNzTvie57tMG2SfnU1XhOTrzdRpz-7DPyurh7mT_Q5er-cT5bUic4DDRXvPJQC-20K7CSZV5W1gtW-kL7HDSiR64SX5Vaqopz73LLWV5JycBxFGfkcsztQ_e2xziYTbcPbTppeCEkpCekTCo2qlzoYgzoTR-anQ0HA8x8t2PGdsxXOya1kyw3o-XDbgcMNa7D_pDAb_5_ViVBlkJ8Akbpa9E</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2634103944</pqid></control><display><type>article</type><title>Face Alignment Based On Semi-Active Appearance Mode</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Yan, Shiliang</creator><creatorcontrib>Yan, Shiliang</creatorcontrib><description>In the information era, the technology of biological character recognition has attracted more and more attentions. In this paper, by investigating theories of active appearance model and inverse compositional image alignment algorithm, we mainly proposed a semi-active appearance model for face alignment based on improving the classical models in the aspects of computation complexity, easily suffering from light, angle and expression, and so on. Firstly, the model of active appearance and the algorithm of alignment are investigated. For the inefficiency of classic gradient descent method in the matching process, the inverse compositional image alignment algorithm is proposed. Then, through combining the active appearance model and Grey Level Co-occurrence Matrix, a novel semiactive appearance model is proposed, which has a simple calculation and higher accuracy of face alignment. Finally, experiments were designed to demonstrate the effectiveness of the proposed algorithms.</description><identifier>ISSN: 1178-5608</identifier><identifier>EISSN: 1178-5608</identifier><identifier>DOI: 10.21307/ijssis-2017-717</identifier><language>eng</language><publisher>Sydney: Sciendo</publisher><subject>active appearance model ; Algorithms ; Alignment ; Character recognition ; face alignment ; grey level cooccurrence matrix ; inverse compositional alignment</subject><ispartof>International journal on smart sensing and intelligent systems, 2014-01, Vol.7 (4), p.1493-1515</ispartof><rights>2014. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c321t-572bf1d38c8c6eb4959baf309f68f518eefe27d38b9847b22fc5a205b4401c2e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><creatorcontrib>Yan, Shiliang</creatorcontrib><title>Face Alignment Based On Semi-Active Appearance Mode</title><title>International journal on smart sensing and intelligent systems</title><description>In the information era, the technology of biological character recognition has attracted more and more attentions. In this paper, by investigating theories of active appearance model and inverse compositional image alignment algorithm, we mainly proposed a semi-active appearance model for face alignment based on improving the classical models in the aspects of computation complexity, easily suffering from light, angle and expression, and so on. Firstly, the model of active appearance and the algorithm of alignment are investigated. For the inefficiency of classic gradient descent method in the matching process, the inverse compositional image alignment algorithm is proposed. Then, through combining the active appearance model and Grey Level Co-occurrence Matrix, a novel semiactive appearance model is proposed, which has a simple calculation and higher accuracy of face alignment. Finally, experiments were designed to demonstrate the effectiveness of the proposed algorithms.</description><subject>active appearance model</subject><subject>Algorithms</subject><subject>Alignment</subject><subject>Character recognition</subject><subject>face alignment</subject><subject>grey level cooccurrence matrix</subject><subject>inverse compositional alignment</subject><issn>1178-5608</issn><issn>1178-5608</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp1UM9LwzAUDqLg0N09FjxH85K0SS_CHE6FyQ7qOaTpy-jY2pp0yv57oxX04ru8D74fj_cRcgHsioNg6rrZxNhEyhkoqkAdkQmA0jQvmD7-g0_JNMYNSyNKrqCYELGwDrPZtlm3O2yH7NZGrLNVmz3jrqEzNzTvie57tMG2SfnU1XhOTrzdRpz-7DPyurh7mT_Q5er-cT5bUic4DDRXvPJQC-20K7CSZV5W1gtW-kL7HDSiR64SX5Vaqopz73LLWV5JycBxFGfkcsztQ_e2xziYTbcPbTppeCEkpCekTCo2qlzoYgzoTR-anQ0HA8x8t2PGdsxXOya1kyw3o-XDbgcMNa7D_pDAb_5_ViVBlkJ8Akbpa9E</recordid><startdate>20140101</startdate><enddate>20140101</enddate><creator>Yan, Shiliang</creator><general>Sciendo</general><general>De Gruyter Poland</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L6V</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20140101</creationdate><title>Face Alignment Based On Semi-Active Appearance Mode</title><author>Yan, Shiliang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c321t-572bf1d38c8c6eb4959baf309f68f518eefe27d38b9847b22fc5a205b4401c2e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>active appearance model</topic><topic>Algorithms</topic><topic>Alignment</topic><topic>Character recognition</topic><topic>face alignment</topic><topic>grey level cooccurrence matrix</topic><topic>inverse compositional alignment</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yan, Shiliang</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>International journal on smart sensing and intelligent systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yan, Shiliang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Face Alignment Based On Semi-Active Appearance Mode</atitle><jtitle>International journal on smart sensing and intelligent systems</jtitle><date>2014-01-01</date><risdate>2014</risdate><volume>7</volume><issue>4</issue><spage>1493</spage><epage>1515</epage><pages>1493-1515</pages><issn>1178-5608</issn><eissn>1178-5608</eissn><abstract>In the information era, the technology of biological character recognition has attracted more and more attentions. In this paper, by investigating theories of active appearance model and inverse compositional image alignment algorithm, we mainly proposed a semi-active appearance model for face alignment based on improving the classical models in the aspects of computation complexity, easily suffering from light, angle and expression, and so on. Firstly, the model of active appearance and the algorithm of alignment are investigated. For the inefficiency of classic gradient descent method in the matching process, the inverse compositional image alignment algorithm is proposed. Then, through combining the active appearance model and Grey Level Co-occurrence Matrix, a novel semiactive appearance model is proposed, which has a simple calculation and higher accuracy of face alignment. Finally, experiments were designed to demonstrate the effectiveness of the proposed algorithms.</abstract><cop>Sydney</cop><pub>Sciendo</pub><doi>10.21307/ijssis-2017-717</doi><tpages>23</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1178-5608 |
| ispartof | International journal on smart sensing and intelligent systems, 2014-01, Vol.7 (4), p.1493-1515 |
| issn | 1178-5608 1178-5608 |
| language | eng |
| recordid | cdi_proquest_journals_2634103944 |
| source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | active appearance model Algorithms Alignment Character recognition face alignment grey level cooccurrence matrix inverse compositional alignment |
| title | Face Alignment Based On Semi-Active Appearance Mode |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-04T00%3A42%3A52IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Face%20Alignment%20Based%20On%20Semi-Active%20Appearance%20Mode&rft.jtitle=International%20journal%20on%20smart%20sensing%20and%20intelligent%20systems&rft.au=Yan,%20Shiliang&rft.date=2014-01-01&rft.volume=7&rft.issue=4&rft.spage=1493&rft.epage=1515&rft.pages=1493-1515&rft.issn=1178-5608&rft.eissn=1178-5608&rft_id=info:doi/10.21307/ijssis-2017-717&rft_dat=%3Cproquest_cross%3E2634103944%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2634103944&rft_id=info:pmid/&rfr_iscdi=true |