Face recognition with 3D real-time face imaging system based on LOGMAP
3D human face recognition with 3D imaging technology is a frontier in image processing and pattern recognition. The 3D real-time human face imaging system based on CIS is able to obtain corresponding 2D gray data and 3D depth data from human face. Dimensionality reduction of high-dimensional observa...
Gespeichert in:
| Hauptverfasser: | , , , , |
|---|---|
| Format: | Tagungsbericht |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 376 |
|---|---|
| container_issue | |
| container_start_page | 373 |
| container_title | |
| container_volume | 3 |
| creator | Ye Changming Jianguo Jiang Shu Zhan Zhang Zhihua Ando, Shigeru |
| description | 3D human face recognition with 3D imaging technology is a frontier in image processing and pattern recognition. The 3D real-time human face imaging system based on CIS is able to obtain corresponding 2D gray data and 3D depth data from human face. Dimensionality reduction of high-dimensional observation data is the key problem of face recognition. This paper applies LOGMAP theory to dimensionality reduction of 2D facial gray data 3D depth data. Tests show that the recognition results based on dimensionality reduction with LOGMAP perform well. |
| doi_str_mv | 10.1109/ICEMI.2011.6037927 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6037927</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6037927</ieee_id><sourcerecordid>6037927</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-c7a4b0f4f9f251bc603f00cca8ee873a910cb6f1b6542140016b8730bf939ae3</originalsourceid><addsrcrecordid>eNpNj1FLwzAUhSMiKLN_QF_yB1rvTdI0eRx1c4UNBX0fSUxqZO2kKcj-vRH34H253HMOl-8QcodQIYJ-6NrVrqsYIFYSeKNZc0EK3SgUTAiFEvnl_7tW_JoUKX1CHik1k-qGrNfGeTp5d-zHOMfjSL_j_EH5Y9bMoZzj4Gn4jcTB9HHsaTql2Q_UmuTfaY5vn592y5dbchXMIfnivBfkdb16azdltrt2uS2jhrl0jREWggg6sBqty9QBwDmjvFcNNxrBWRnQylowFAAobdbBBs218XxB7v--Ru_9_mvKTNNpf-7OfwBXqktv</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Face recognition with 3D real-time face imaging system based on LOGMAP</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Ye Changming ; Jianguo Jiang ; Shu Zhan ; Zhang Zhihua ; Ando, Shigeru</creator><creatorcontrib>Ye Changming ; Jianguo Jiang ; Shu Zhan ; Zhang Zhihua ; Ando, Shigeru</creatorcontrib><description>3D human face recognition with 3D imaging technology is a frontier in image processing and pattern recognition. The 3D real-time human face imaging system based on CIS is able to obtain corresponding 2D gray data and 3D depth data from human face. Dimensionality reduction of high-dimensional observation data is the key problem of face recognition. This paper applies LOGMAP theory to dimensionality reduction of 2D facial gray data 3D depth data. Tests show that the recognition results based on dimensionality reduction with LOGMAP perform well.</description><identifier>ISBN: 9781424481583</identifier><identifier>ISBN: 1424481589</identifier><identifier>EISBN: 9781424481613</identifier><identifier>EISBN: 1424481600</identifier><identifier>EISBN: 1424481619</identifier><identifier>EISBN: 9781424481606</identifier><identifier>DOI: 10.1109/ICEMI.2011.6037927</identifier><language>eng</language><publisher>IEEE</publisher><subject>3D imaging system ; dimensionality reduction ; Face ; Face recognition ; Humans ; Imaging ; LOGMAP ; manifold learning ; Manifolds ; Real time systems ; Three dimensional displays</subject><ispartof>IEEE 2011 10th International Conference on Electronic Measurement & Instruments, 2011, Vol.3, p.373-376</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/6037927$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6037927$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Ye Changming</creatorcontrib><creatorcontrib>Jianguo Jiang</creatorcontrib><creatorcontrib>Shu Zhan</creatorcontrib><creatorcontrib>Zhang Zhihua</creatorcontrib><creatorcontrib>Ando, Shigeru</creatorcontrib><title>Face recognition with 3D real-time face imaging system based on LOGMAP</title><title>IEEE 2011 10th International Conference on Electronic Measurement & Instruments</title><addtitle>ICEMI</addtitle><description>3D human face recognition with 3D imaging technology is a frontier in image processing and pattern recognition. The 3D real-time human face imaging system based on CIS is able to obtain corresponding 2D gray data and 3D depth data from human face. Dimensionality reduction of high-dimensional observation data is the key problem of face recognition. This paper applies LOGMAP theory to dimensionality reduction of 2D facial gray data 3D depth data. Tests show that the recognition results based on dimensionality reduction with LOGMAP perform well.</description><subject>3D imaging system</subject><subject>dimensionality reduction</subject><subject>Face</subject><subject>Face recognition</subject><subject>Humans</subject><subject>Imaging</subject><subject>LOGMAP</subject><subject>manifold learning</subject><subject>Manifolds</subject><subject>Real time systems</subject><subject>Three dimensional displays</subject><isbn>9781424481583</isbn><isbn>1424481589</isbn><isbn>9781424481613</isbn><isbn>1424481600</isbn><isbn>1424481619</isbn><isbn>9781424481606</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpNj1FLwzAUhSMiKLN_QF_yB1rvTdI0eRx1c4UNBX0fSUxqZO2kKcj-vRH34H253HMOl-8QcodQIYJ-6NrVrqsYIFYSeKNZc0EK3SgUTAiFEvnl_7tW_JoUKX1CHik1k-qGrNfGeTp5d-zHOMfjSL_j_EH5Y9bMoZzj4Gn4jcTB9HHsaTql2Q_UmuTfaY5vn592y5dbchXMIfnivBfkdb16azdltrt2uS2jhrl0jREWggg6sBqty9QBwDmjvFcNNxrBWRnQylowFAAobdbBBs218XxB7v--Ru_9_mvKTNNpf-7OfwBXqktv</recordid><startdate>201108</startdate><enddate>201108</enddate><creator>Ye Changming</creator><creator>Jianguo Jiang</creator><creator>Shu Zhan</creator><creator>Zhang Zhihua</creator><creator>Ando, Shigeru</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201108</creationdate><title>Face recognition with 3D real-time face imaging system based on LOGMAP</title><author>Ye Changming ; Jianguo Jiang ; Shu Zhan ; Zhang Zhihua ; Ando, Shigeru</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-c7a4b0f4f9f251bc603f00cca8ee873a910cb6f1b6542140016b8730bf939ae3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>3D imaging system</topic><topic>dimensionality reduction</topic><topic>Face</topic><topic>Face recognition</topic><topic>Humans</topic><topic>Imaging</topic><topic>LOGMAP</topic><topic>manifold learning</topic><topic>Manifolds</topic><topic>Real time systems</topic><topic>Three dimensional displays</topic><toplevel>online_resources</toplevel><creatorcontrib>Ye Changming</creatorcontrib><creatorcontrib>Jianguo Jiang</creatorcontrib><creatorcontrib>Shu Zhan</creatorcontrib><creatorcontrib>Zhang Zhihua</creatorcontrib><creatorcontrib>Ando, Shigeru</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>Ye Changming</au><au>Jianguo Jiang</au><au>Shu Zhan</au><au>Zhang Zhihua</au><au>Ando, Shigeru</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Face recognition with 3D real-time face imaging system based on LOGMAP</atitle><btitle>IEEE 2011 10th International Conference on Electronic Measurement & Instruments</btitle><stitle>ICEMI</stitle><date>2011-08</date><risdate>2011</risdate><volume>3</volume><spage>373</spage><epage>376</epage><pages>373-376</pages><isbn>9781424481583</isbn><isbn>1424481589</isbn><eisbn>9781424481613</eisbn><eisbn>1424481600</eisbn><eisbn>1424481619</eisbn><eisbn>9781424481606</eisbn><abstract>3D human face recognition with 3D imaging technology is a frontier in image processing and pattern recognition. The 3D real-time human face imaging system based on CIS is able to obtain corresponding 2D gray data and 3D depth data from human face. Dimensionality reduction of high-dimensional observation data is the key problem of face recognition. This paper applies LOGMAP theory to dimensionality reduction of 2D facial gray data 3D depth data. Tests show that the recognition results based on dimensionality reduction with LOGMAP perform well.</abstract><pub>IEEE</pub><doi>10.1109/ICEMI.2011.6037927</doi><tpages>4</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISBN: 9781424481583 |
| ispartof | IEEE 2011 10th International Conference on Electronic Measurement & Instruments, 2011, Vol.3, p.373-376 |
| issn | |
| language | eng |
| recordid | cdi_ieee_primary_6037927 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | 3D imaging system dimensionality reduction Face Face recognition Humans Imaging LOGMAP manifold learning Manifolds Real time systems Three dimensional displays |
| title | Face recognition with 3D real-time face imaging system based on LOGMAP |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T11%3A46%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Face%20recognition%20with%203D%20real-time%20face%20imaging%20system%20based%20on%20LOGMAP&rft.btitle=IEEE%202011%2010th%20International%20Conference%20on%20Electronic%20Measurement%20&%20Instruments&rft.au=Ye%20Changming&rft.date=2011-08&rft.volume=3&rft.spage=373&rft.epage=376&rft.pages=373-376&rft.isbn=9781424481583&rft.isbn_list=1424481589&rft_id=info:doi/10.1109/ICEMI.2011.6037927&rft_dat=%3Cieee_6IE%3E6037927%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781424481613&rft.eisbn_list=1424481600&rft.eisbn_list=1424481619&rft.eisbn_list=9781424481606&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6037927&rfr_iscdi=true |