Decoupling photometry and geometry in dense variational camera calibration
We introduce a spatially dense variational approach to estimate the calibration of multiple cameras in the context of 3D reconstruction. We propose a relaxation scheme which allows to transform the original photometric error into a geometric one, thereby decoupling the problems of dense matching and...
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 | 1418 |
|---|---|
| container_issue | |
| container_start_page | 1411 |
| container_title | |
| container_volume | |
| creator | Aubry, M. Kolev, K. Goldluecke, B. Cremers, D. |
| description | We introduce a spatially dense variational approach to estimate the calibration of multiple cameras in the context of 3D reconstruction. We propose a relaxation scheme which allows to transform the original photometric error into a geometric one, thereby decoupling the problems of dense matching and camera calibration. In both quantitative and qualitative experiments, we demonstrate that the proposed decoupling scheme allows for robust and accurate estimation of camera parameters. In particular, the presented dense camera calibration formulation leads to substantial improvements both in the reconstructed 3D geometry and in the super-resolution texture estimation. |
| doi_str_mv | 10.1109/ICCV.2011.6126396 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6126396</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6126396</ieee_id><sourcerecordid>6126396</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-9b4bc932e677d2071b1c99652852bd160b860ab8b000c35067170852855871ff3</originalsourceid><addsrcrecordid>eNo1kMlOwzAURc0kkZZ-AGLjH0h4z46nJQpTUSU2FdvKTpxilElOQOrfUyCsju490l1cQq4RMkQwt-uieMsYIGYSmeRGnpAF5kKpowU8JQnjGlIlID8jK6P0v0NxThIUAlKRG3NJFuP4AcAN0zIhL_e-7D-HJnR7Orz3U9_6KR6o7Sq693MIHa18N3r6ZWOwU-g729DStj7aI5rg4m95RS5q24x-NXNJto8P2-I53bw-rYu7TRoMTKlxuSsNZ14qVTFQ6LA0RgqmBXMVSnBagnXaAUDJBUiFCvSPFlphXfMlufmbDd773RBDa-NhN1_CvwG9zVAe</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Decoupling photometry and geometry in dense variational camera calibration</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Aubry, M. ; Kolev, K. ; Goldluecke, B. ; Cremers, D.</creator><creatorcontrib>Aubry, M. ; Kolev, K. ; Goldluecke, B. ; Cremers, D.</creatorcontrib><description>We introduce a spatially dense variational approach to estimate the calibration of multiple cameras in the context of 3D reconstruction. We propose a relaxation scheme which allows to transform the original photometric error into a geometric one, thereby decoupling the problems of dense matching and camera calibration. In both quantitative and qualitative experiments, we demonstrate that the proposed decoupling scheme allows for robust and accurate estimation of camera parameters. In particular, the presented dense camera calibration formulation leads to substantial improvements both in the reconstructed 3D geometry and in the super-resolution texture estimation.</description><identifier>ISSN: 1550-5499</identifier><identifier>ISBN: 9781457711015</identifier><identifier>ISBN: 145771101X</identifier><identifier>EISSN: 2380-7504</identifier><identifier>EISBN: 1457711001</identifier><identifier>EISBN: 1457711028</identifier><identifier>EISBN: 9781457711022</identifier><identifier>EISBN: 9781457711008</identifier><identifier>DOI: 10.1109/ICCV.2011.6126396</identifier><language>eng</language><publisher>IEEE</publisher><subject>Calibration ; Cameras ; Computational modeling ; Estimation ; Geometry ; Solid modeling ; Three dimensional displays</subject><ispartof>2011 International Conference on Computer Vision, 2011, p.1411-1418</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/6126396$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27904,54898</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6126396$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Aubry, M.</creatorcontrib><creatorcontrib>Kolev, K.</creatorcontrib><creatorcontrib>Goldluecke, B.</creatorcontrib><creatorcontrib>Cremers, D.</creatorcontrib><title>Decoupling photometry and geometry in dense variational camera calibration</title><title>2011 International Conference on Computer Vision</title><addtitle>ICCV</addtitle><description>We introduce a spatially dense variational approach to estimate the calibration of multiple cameras in the context of 3D reconstruction. We propose a relaxation scheme which allows to transform the original photometric error into a geometric one, thereby decoupling the problems of dense matching and camera calibration. In both quantitative and qualitative experiments, we demonstrate that the proposed decoupling scheme allows for robust and accurate estimation of camera parameters. In particular, the presented dense camera calibration formulation leads to substantial improvements both in the reconstructed 3D geometry and in the super-resolution texture estimation.</description><subject>Calibration</subject><subject>Cameras</subject><subject>Computational modeling</subject><subject>Estimation</subject><subject>Geometry</subject><subject>Solid modeling</subject><subject>Three dimensional displays</subject><issn>1550-5499</issn><issn>2380-7504</issn><isbn>9781457711015</isbn><isbn>145771101X</isbn><isbn>1457711001</isbn><isbn>1457711028</isbn><isbn>9781457711022</isbn><isbn>9781457711008</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kMlOwzAURc0kkZZ-AGLjH0h4z46nJQpTUSU2FdvKTpxilElOQOrfUyCsju490l1cQq4RMkQwt-uieMsYIGYSmeRGnpAF5kKpowU8JQnjGlIlID8jK6P0v0NxThIUAlKRG3NJFuP4AcAN0zIhL_e-7D-HJnR7Orz3U9_6KR6o7Sq693MIHa18N3r6ZWOwU-g729DStj7aI5rg4m95RS5q24x-NXNJto8P2-I53bw-rYu7TRoMTKlxuSsNZ14qVTFQ6LA0RgqmBXMVSnBagnXaAUDJBUiFCvSPFlphXfMlufmbDd773RBDa-NhN1_CvwG9zVAe</recordid><startdate>201111</startdate><enddate>201111</enddate><creator>Aubry, M.</creator><creator>Kolev, K.</creator><creator>Goldluecke, B.</creator><creator>Cremers, D.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201111</creationdate><title>Decoupling photometry and geometry in dense variational camera calibration</title><author>Aubry, M. ; Kolev, K. ; Goldluecke, B. ; Cremers, D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-9b4bc932e677d2071b1c99652852bd160b860ab8b000c35067170852855871ff3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Calibration</topic><topic>Cameras</topic><topic>Computational modeling</topic><topic>Estimation</topic><topic>Geometry</topic><topic>Solid modeling</topic><topic>Three dimensional displays</topic><toplevel>online_resources</toplevel><creatorcontrib>Aubry, M.</creatorcontrib><creatorcontrib>Kolev, K.</creatorcontrib><creatorcontrib>Goldluecke, B.</creatorcontrib><creatorcontrib>Cremers, D.</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>Aubry, M.</au><au>Kolev, K.</au><au>Goldluecke, B.</au><au>Cremers, D.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Decoupling photometry and geometry in dense variational camera calibration</atitle><btitle>2011 International Conference on Computer Vision</btitle><stitle>ICCV</stitle><date>2011-11</date><risdate>2011</risdate><spage>1411</spage><epage>1418</epage><pages>1411-1418</pages><issn>1550-5499</issn><eissn>2380-7504</eissn><isbn>9781457711015</isbn><isbn>145771101X</isbn><eisbn>1457711001</eisbn><eisbn>1457711028</eisbn><eisbn>9781457711022</eisbn><eisbn>9781457711008</eisbn><abstract>We introduce a spatially dense variational approach to estimate the calibration of multiple cameras in the context of 3D reconstruction. We propose a relaxation scheme which allows to transform the original photometric error into a geometric one, thereby decoupling the problems of dense matching and camera calibration. In both quantitative and qualitative experiments, we demonstrate that the proposed decoupling scheme allows for robust and accurate estimation of camera parameters. In particular, the presented dense camera calibration formulation leads to substantial improvements both in the reconstructed 3D geometry and in the super-resolution texture estimation.</abstract><pub>IEEE</pub><doi>10.1109/ICCV.2011.6126396</doi><tpages>8</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 1550-5499 |
| ispartof | 2011 International Conference on Computer Vision, 2011, p.1411-1418 |
| issn | 1550-5499 2380-7504 |
| language | eng |
| recordid | cdi_ieee_primary_6126396 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Calibration Cameras Computational modeling Estimation Geometry Solid modeling Three dimensional displays |
| title | Decoupling photometry and geometry in dense variational camera calibration |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-27T19%3A25%3A33IST&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=Decoupling%20photometry%20and%20geometry%20in%20dense%20variational%20camera%20calibration&rft.btitle=2011%20International%20Conference%20on%20Computer%20Vision&rft.au=Aubry,%20M.&rft.date=2011-11&rft.spage=1411&rft.epage=1418&rft.pages=1411-1418&rft.issn=1550-5499&rft.eissn=2380-7504&rft.isbn=9781457711015&rft.isbn_list=145771101X&rft_id=info:doi/10.1109/ICCV.2011.6126396&rft_dat=%3Cieee_6IE%3E6126396%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=1457711001&rft.eisbn_list=1457711028&rft.eisbn_list=9781457711022&rft.eisbn_list=9781457711008&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6126396&rfr_iscdi=true |