Depth map extraction based on geometry
This paper presents a novel depth map generation method based on geometric information. Our method divides a 2d image into two parts-the foreground and the background. Through extracting the predominant lines and vanishing point of the background, the background depth map is determined. Then we use...
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 | 5 |
|---|---|
| container_issue | |
| container_start_page | 1 |
| container_title | |
| container_volume | |
| creator | Difan Zhao Yannan Ren Jiande Sun Wei Liu Ju Liu |
| description | This paper presents a novel depth map generation method based on geometric information. Our method divides a 2d image into two parts-the foreground and the background. Through extracting the predominant lines and vanishing point of the background, the background depth map is determined. Then we use this depth map as a `scalar' to measure the depth value of the foreground object. Finally, the depth map of the foreground and the background are integrated into one depth map by a depth fusion algorithm. |
| doi_str_mv | 10.1109/SECon.2012.6197062 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6197062</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6197062</ieee_id><sourcerecordid>6197062</sourcerecordid><originalsourceid>FETCH-LOGICAL-i175t-95a0440783b9e89460c0f65e1f7dbdad1cf307d6c7c2e9a67176e946ccd9b9f43</originalsourceid><addsrcrecordid>eNpVj0tLxEAQhMcXuKz5A3rJyVtid-bR6aOs6wMWPKjgbZnMdDRiNiHJwf33BtyLdamCrygopS4RckTgm5f1qtvlBWCRO2QCVxyphKlE40ijJm2P1QKtLTOw5fvJP2aK05kBYwZg4Vwl4_gFswg0W71Q13fST59p6_tUfqbBh6npdmnlR4npHD6ka2Ua9hfqrPbfoyQHX6q3-_Xr6jHbPD88rW43WYNkp4ytB2OASl2xlGwcBKidFawpVtFHDLUGii5QKIS9IyQncy2EyBXXRi_V1d9uIyLbfmhaP-y3h9f6F3DORdk</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Depth map extraction based on geometry</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Difan Zhao ; Yannan Ren ; Jiande Sun ; Wei Liu ; Ju Liu</creator><creatorcontrib>Difan Zhao ; Yannan Ren ; Jiande Sun ; Wei Liu ; Ju Liu</creatorcontrib><description>This paper presents a novel depth map generation method based on geometric information. Our method divides a 2d image into two parts-the foreground and the background. Through extracting the predominant lines and vanishing point of the background, the background depth map is determined. Then we use this depth map as a `scalar' to measure the depth value of the foreground object. Finally, the depth map of the foreground and the background are integrated into one depth map by a depth fusion algorithm.</description><identifier>ISSN: 1091-0050</identifier><identifier>ISBN: 9781467313742</identifier><identifier>ISBN: 1467313742</identifier><identifier>EISSN: 1558-058X</identifier><identifier>EISBN: 9781467313735</identifier><identifier>EISBN: 1467313734</identifier><identifier>EISBN: 1467313750</identifier><identifier>EISBN: 9781467313759</identifier><identifier>DOI: 10.1109/SECon.2012.6197062</identifier><language>eng</language><publisher>IEEE</publisher><subject>2D to 3D ; Data mining ; Dept ; Educational institutions ; Geometry ; Heuristic algorithms ; Image edge detection ; Legged locomotion ; Three dimensional displays</subject><ispartof>2012 Proceedings of IEEE Southeastcon, 2012, p.1-5</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/6197062$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6197062$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Difan Zhao</creatorcontrib><creatorcontrib>Yannan Ren</creatorcontrib><creatorcontrib>Jiande Sun</creatorcontrib><creatorcontrib>Wei Liu</creatorcontrib><creatorcontrib>Ju Liu</creatorcontrib><title>Depth map extraction based on geometry</title><title>2012 Proceedings of IEEE Southeastcon</title><addtitle>SECon</addtitle><description>This paper presents a novel depth map generation method based on geometric information. Our method divides a 2d image into two parts-the foreground and the background. Through extracting the predominant lines and vanishing point of the background, the background depth map is determined. Then we use this depth map as a `scalar' to measure the depth value of the foreground object. Finally, the depth map of the foreground and the background are integrated into one depth map by a depth fusion algorithm.</description><subject>2D to 3D</subject><subject>Data mining</subject><subject>Dept</subject><subject>Educational institutions</subject><subject>Geometry</subject><subject>Heuristic algorithms</subject><subject>Image edge detection</subject><subject>Legged locomotion</subject><subject>Three dimensional displays</subject><issn>1091-0050</issn><issn>1558-058X</issn><isbn>9781467313742</isbn><isbn>1467313742</isbn><isbn>9781467313735</isbn><isbn>1467313734</isbn><isbn>1467313750</isbn><isbn>9781467313759</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVj0tLxEAQhMcXuKz5A3rJyVtid-bR6aOs6wMWPKjgbZnMdDRiNiHJwf33BtyLdamCrygopS4RckTgm5f1qtvlBWCRO2QCVxyphKlE40ijJm2P1QKtLTOw5fvJP2aK05kBYwZg4Vwl4_gFswg0W71Q13fST59p6_tUfqbBh6npdmnlR4npHD6ka2Ua9hfqrPbfoyQHX6q3-_Xr6jHbPD88rW43WYNkp4ytB2OASl2xlGwcBKidFawpVtFHDLUGii5QKIS9IyQncy2EyBXXRi_V1d9uIyLbfmhaP-y3h9f6F3DORdk</recordid><startdate>201203</startdate><enddate>201203</enddate><creator>Difan Zhao</creator><creator>Yannan Ren</creator><creator>Jiande Sun</creator><creator>Wei Liu</creator><creator>Ju Liu</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201203</creationdate><title>Depth map extraction based on geometry</title><author>Difan Zhao ; Yannan Ren ; Jiande Sun ; Wei Liu ; Ju Liu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-95a0440783b9e89460c0f65e1f7dbdad1cf307d6c7c2e9a67176e946ccd9b9f43</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>2D to 3D</topic><topic>Data mining</topic><topic>Dept</topic><topic>Educational institutions</topic><topic>Geometry</topic><topic>Heuristic algorithms</topic><topic>Image edge detection</topic><topic>Legged locomotion</topic><topic>Three dimensional displays</topic><toplevel>online_resources</toplevel><creatorcontrib>Difan Zhao</creatorcontrib><creatorcontrib>Yannan Ren</creatorcontrib><creatorcontrib>Jiande Sun</creatorcontrib><creatorcontrib>Wei Liu</creatorcontrib><creatorcontrib>Ju Liu</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Difan Zhao</au><au>Yannan Ren</au><au>Jiande Sun</au><au>Wei Liu</au><au>Ju Liu</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Depth map extraction based on geometry</atitle><btitle>2012 Proceedings of IEEE Southeastcon</btitle><stitle>SECon</stitle><date>2012-03</date><risdate>2012</risdate><spage>1</spage><epage>5</epage><pages>1-5</pages><issn>1091-0050</issn><eissn>1558-058X</eissn><isbn>9781467313742</isbn><isbn>1467313742</isbn><eisbn>9781467313735</eisbn><eisbn>1467313734</eisbn><eisbn>1467313750</eisbn><eisbn>9781467313759</eisbn><abstract>This paper presents a novel depth map generation method based on geometric information. Our method divides a 2d image into two parts-the foreground and the background. Through extracting the predominant lines and vanishing point of the background, the background depth map is determined. Then we use this depth map as a `scalar' to measure the depth value of the foreground object. Finally, the depth map of the foreground and the background are integrated into one depth map by a depth fusion algorithm.</abstract><pub>IEEE</pub><doi>10.1109/SECon.2012.6197062</doi><tpages>5</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1091-0050 |
| ispartof | 2012 Proceedings of IEEE Southeastcon, 2012, p.1-5 |
| issn | 1091-0050 1558-058X |
| language | eng |
| recordid | cdi_ieee_primary_6197062 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | 2D to 3D Data mining Dept Educational institutions Geometry Heuristic algorithms Image edge detection Legged locomotion Three dimensional displays |
| title | Depth map extraction based on geometry |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-09T08%3A25%3A41IST&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=Depth%20map%20extraction%20based%20on%20geometry&rft.btitle=2012%20Proceedings%20of%20IEEE%20Southeastcon&rft.au=Difan%20Zhao&rft.date=2012-03&rft.spage=1&rft.epage=5&rft.pages=1-5&rft.issn=1091-0050&rft.eissn=1558-058X&rft.isbn=9781467313742&rft.isbn_list=1467313742&rft_id=info:doi/10.1109/SECon.2012.6197062&rft_dat=%3Cieee_6IE%3E6197062%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781467313735&rft.eisbn_list=1467313734&rft.eisbn_list=1467313750&rft.eisbn_list=9781467313759&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6197062&rfr_iscdi=true |