Shape from depth discontinuities under orthographic projection
We present a new method for reconstructing the 3-D surface of an opaque object from the motion of its depth discontinuities, when viewed under orthographic projection as the object undergoes rigid rotation on a turntable. A novel shape completion scheme is introduced to fill in gaps in the recovered...
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| creator | Lanman, Douglas Hauagge, Daniel Cabrini Taubin, Gabriel |
| description | We present a new method for reconstructing the 3-D surface of an opaque object from the motion of its depth discontinuities, when viewed under orthographic projection as the object undergoes rigid rotation on a turntable. A novel shape completion scheme is introduced to fill in gaps in the recovered surface, which would otherwise be impossible to reconstruct from the motion of the depth discontinuities alone. To verify the basic theory, we construct a large-format orthographic multi-flash camera capable of recovering the depth discontinuities using controlled illumination. We analyze the limitations of multi-flash depth edge detection using orthographic imaging with both point sources and directional illumination. We conclude by considering future applications for the shape completion scheme and the specialized hardware introduced in this work. |
| doi_str_mv | 10.1109/ICCVW.2009.5457427 |
| format | Conference Proceeding |
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A novel shape completion scheme is introduced to fill in gaps in the recovered surface, which would otherwise be impossible to reconstruct from the motion of the depth discontinuities alone. To verify the basic theory, we construct a large-format orthographic multi-flash camera capable of recovering the depth discontinuities using controlled illumination. We analyze the limitations of multi-flash depth edge detection using orthographic imaging with both point sources and directional illumination. 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A novel shape completion scheme is introduced to fill in gaps in the recovered surface, which would otherwise be impossible to reconstruct from the motion of the depth discontinuities alone. To verify the basic theory, we construct a large-format orthographic multi-flash camera capable of recovering the depth discontinuities using controlled illumination. We analyze the limitations of multi-flash depth edge detection using orthographic imaging with both point sources and directional illumination. We conclude by considering future applications for the shape completion scheme and the specialized hardware introduced in this work.</description><subject>Cameras</subject><subject>Computer vision</subject><subject>Image analysis</subject><subject>Image edge detection</subject><subject>Image motion analysis</subject><subject>Image reconstruction</subject><subject>Lighting</subject><subject>Shape</subject><subject>Solids</subject><subject>Surface reconstruction</subject><isbn>142444442X</isbn><isbn>9781424444427</isbn><isbn>1424444411</isbn><isbn>9781424444410</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFj8tKAzEYhSNS0Na-gG7yAjPmT_5Mko0gg5dCwYXXXckkGSfFTobMdOHba7Hgtzkc-DhwCLkEVgIwc72q67f3kjNmSolSIVcnZA7I8QDA6X_hHzMyP4iGCYbyjCzHcct-QSmQ6XNy89zZIdA2px31YZg66uPoUj_Ffh-nGEa6733INOWpS5_ZDl10dMhpG9wUU39BZq39GsPymAvyen_3Uj8W66eHVX27LiIIVAW2jRUNAm-tAY2A1nCthOTQehDOVK4SoK1XOhhUXrPKSNNo7SpvhXFGLMjV324MIWyGHHc2f2-O58UPXGVLcw</recordid><startdate>200909</startdate><enddate>200909</enddate><creator>Lanman, Douglas</creator><creator>Hauagge, Daniel Cabrini</creator><creator>Taubin, Gabriel</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200909</creationdate><title>Shape from depth discontinuities under orthographic projection</title><author>Lanman, Douglas ; Hauagge, Daniel Cabrini ; Taubin, Gabriel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i1347-4fba3b412fa918414a92873521fd13c96c6318ad78e947d806959b88c6da39c93</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Cameras</topic><topic>Computer vision</topic><topic>Image analysis</topic><topic>Image edge detection</topic><topic>Image motion analysis</topic><topic>Image reconstruction</topic><topic>Lighting</topic><topic>Shape</topic><topic>Solids</topic><topic>Surface reconstruction</topic><toplevel>online_resources</toplevel><creatorcontrib>Lanman, Douglas</creatorcontrib><creatorcontrib>Hauagge, Daniel Cabrini</creatorcontrib><creatorcontrib>Taubin, Gabriel</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>Lanman, Douglas</au><au>Hauagge, Daniel Cabrini</au><au>Taubin, Gabriel</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Shape from depth discontinuities under orthographic projection</atitle><btitle>2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops</btitle><stitle>ICCVW</stitle><date>2009-09</date><risdate>2009</risdate><spage>1550</spage><epage>1557</epage><pages>1550-1557</pages><isbn>142444442X</isbn><isbn>9781424444427</isbn><eisbn>1424444411</eisbn><eisbn>9781424444410</eisbn><abstract>We present a new method for reconstructing the 3-D surface of an opaque object from the motion of its depth discontinuities, when viewed under orthographic projection as the object undergoes rigid rotation on a turntable. A novel shape completion scheme is introduced to fill in gaps in the recovered surface, which would otherwise be impossible to reconstruct from the motion of the depth discontinuities alone. To verify the basic theory, we construct a large-format orthographic multi-flash camera capable of recovering the depth discontinuities using controlled illumination. We analyze the limitations of multi-flash depth edge detection using orthographic imaging with both point sources and directional illumination. We conclude by considering future applications for the shape completion scheme and the specialized hardware introduced in this work.</abstract><pub>IEEE</pub><doi>10.1109/ICCVW.2009.5457427</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Cameras Computer vision Image analysis Image edge detection Image motion analysis Image reconstruction Lighting Shape Solids Surface reconstruction |
| title | Shape from depth discontinuities under orthographic projection |
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