Extraction of 3D Transform and Scale Invariant Patches from Range Scans
An algorithm is proposed to extract transformation and scale invariant 3D fundamental elements from the surface structure of 3D range scan data. The surface is described by mean and Gaussian curvature values at every data point at various scales and a scale-space search is performed in order to extr...
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| creator | Akagunduz, E. Ulusoy, I. |
| description | An algorithm is proposed to extract transformation and scale invariant 3D fundamental elements from the surface structure of 3D range scan data. The surface is described by mean and Gaussian curvature values at every data point at various scales and a scale-space search is performed in order to extract the fundamental structures and to estimate the location and the scale of each fundamental structure. The extracted fundamental structures can later be used as nodes in a topological graph where the links between the nodes can be defined as the spatial and geometric relations between the fundamental elements. |
| doi_str_mv | 10.1109/CVPR.2007.383366 |
| format | Conference Proceeding |
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The surface is described by mean and Gaussian curvature values at every data point at various scales and a scale-space search is performed in order to extract the fundamental structures and to estimate the location and the scale of each fundamental structure. The extracted fundamental structures can later be used as nodes in a topological graph where the links between the nodes can be defined as the spatial and geometric relations between the fundamental elements.</description><identifier>ISSN: 1063-6919</identifier><identifier>ISBN: 9781424411795</identifier><identifier>ISBN: 1424411793</identifier><identifier>EISBN: 1424411807</identifier><identifier>EISBN: 9781424411801</identifier><identifier>DOI: 10.1109/CVPR.2007.383366</identifier><language>eng ; jpn</language><publisher>IEEE</publisher><subject>Biometrics ; Clouds ; Data engineering ; Data mining ; Image analysis ; Layout ; Robots ; Shape measurement ; Surface fitting ; Surface structures</subject><ispartof>2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007, p.1-8</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/4270364$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4270364$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Akagunduz, E.</creatorcontrib><creatorcontrib>Ulusoy, I.</creatorcontrib><title>Extraction of 3D Transform and Scale Invariant Patches from Range Scans</title><title>2007 IEEE Conference on Computer Vision and Pattern Recognition</title><addtitle>CVPR</addtitle><description>An algorithm is proposed to extract transformation and scale invariant 3D fundamental elements from the surface structure of 3D range scan data. The surface is described by mean and Gaussian curvature values at every data point at various scales and a scale-space search is performed in order to extract the fundamental structures and to estimate the location and the scale of each fundamental structure. The extracted fundamental structures can later be used as nodes in a topological graph where the links between the nodes can be defined as the spatial and geometric relations between the fundamental elements.</description><subject>Biometrics</subject><subject>Clouds</subject><subject>Data engineering</subject><subject>Data mining</subject><subject>Image analysis</subject><subject>Layout</subject><subject>Robots</subject><subject>Shape measurement</subject><subject>Surface fitting</subject><subject>Surface structures</subject><issn>1063-6919</issn><isbn>9781424411795</isbn><isbn>1424411793</isbn><isbn>1424411807</isbn><isbn>9781424411801</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2007</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjktLw0AYRUesYK3ZC27mDyTOZN5LiW0tFFpqdVs-56GRZiIzQfTfG7F3c7lwuByEbiipKCXmrnnZ7qqaEFUxzZiUZ-iK8ppzSjVR56gwSp-2MmKCppRIVkpDzSUqcv4gY_SICj1Fy_n3kMAObR9xHzB7wPsEMYc-dRiiw08Wjh6v4hekFuKAtzDYd59xSH2HdxDf_B8S8zW6CHDMvjj1DD0v5vvmsVxvlqvmfl22VMih9MaO2qMasSxoQajX2kvjpLA8-NegamUsc-BAOU60EI6beiSCkpQbqdgM3f7_tt77w2dqO0g_B14rwiRnv16tTSo</recordid><startdate>200706</startdate><enddate>200706</enddate><creator>Akagunduz, E.</creator><creator>Ulusoy, I.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200706</creationdate><title>Extraction of 3D Transform and Scale Invariant Patches from Range Scans</title><author>Akagunduz, E. ; Ulusoy, I.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i156t-e9c0072440c3f8501e88e69d65c4febf7279c3dada7d40855d4928e6f76149673</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng ; jpn</language><creationdate>2007</creationdate><topic>Biometrics</topic><topic>Clouds</topic><topic>Data engineering</topic><topic>Data mining</topic><topic>Image analysis</topic><topic>Layout</topic><topic>Robots</topic><topic>Shape measurement</topic><topic>Surface fitting</topic><topic>Surface structures</topic><toplevel>online_resources</toplevel><creatorcontrib>Akagunduz, E.</creatorcontrib><creatorcontrib>Ulusoy, I.</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>Akagunduz, E.</au><au>Ulusoy, I.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Extraction of 3D Transform and Scale Invariant Patches from Range Scans</atitle><btitle>2007 IEEE Conference on Computer Vision and Pattern Recognition</btitle><stitle>CVPR</stitle><date>2007-06</date><risdate>2007</risdate><spage>1</spage><epage>8</epage><pages>1-8</pages><issn>1063-6919</issn><isbn>9781424411795</isbn><isbn>1424411793</isbn><eisbn>1424411807</eisbn><eisbn>9781424411801</eisbn><abstract>An algorithm is proposed to extract transformation and scale invariant 3D fundamental elements from the surface structure of 3D range scan data. The surface is described by mean and Gaussian curvature values at every data point at various scales and a scale-space search is performed in order to extract the fundamental structures and to estimate the location and the scale of each fundamental structure. The extracted fundamental structures can later be used as nodes in a topological graph where the links between the nodes can be defined as the spatial and geometric relations between the fundamental elements.</abstract><pub>IEEE</pub><doi>10.1109/CVPR.2007.383366</doi><tpages>8</tpages></addata></record> |
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| ispartof | 2007 IEEE Conference on Computer Vision and Pattern Recognition, 2007, p.1-8 |
| issn | 1063-6919 |
| language | eng ; jpn |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Biometrics Clouds Data engineering Data mining Image analysis Layout Robots Shape measurement Surface fitting Surface structures |
| title | Extraction of 3D Transform and Scale Invariant Patches from Range Scans |
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