Shape from Silhouette Under Varying Lighting and Multi-viewpoints
We present a new segmentation method for visual hull (VH) reconstruction from an image sequence. The camera moves on a hemisphere around an object set on a turntable with complex and unknown background. Even though the background is assumed to be constant, it cannot be modeled from all possible view...
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creator | Mikhnevich, M. Hebert, P. |
description | We present a new segmentation method for visual hull (VH) reconstruction from an image sequence. The camera moves on a hemisphere around an object set on a turntable with complex and unknown background. Even though the background is assumed to be constant, it cannot be modeled from all possible viewpoints. A series of images of a moving object under different lighting conditions are captured and analyzed. In this analysis, information from space, time and light domains are fused into an MRF framework. The method is validated by VH reconstruction of challenging objects with different optical properties. |
doi_str_mv | 10.1109/CRV.2011.45 |
format | Conference Proceeding |
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The camera moves on a hemisphere around an object set on a turntable with complex and unknown background. Even though the background is assumed to be constant, it cannot be modeled from all possible viewpoints. A series of images of a moving object under different lighting conditions are captured and analyzed. In this analysis, information from space, time and light domains are fused into an MRF framework. The method is validated by VH reconstruction of challenging objects with different optical properties.</description><subject>Cameras</subject><subject>Estimation</subject><subject>graph cut</subject><subject>Image color analysis</subject><subject>Image segmentation</subject><subject>Light sources</subject><subject>Lighting</subject><subject>multi-view</subject><subject>Pixel</subject><subject>segmentation</subject><subject>shape from silhouette</subject><subject>visual hull</subject><isbn>9781612844305</isbn><isbn>1612844308</isbn><isbn>0769543626</isbn><isbn>9780769543628</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjk1Lw0AURUdEUGtWLt3MH0icl_lelqBWqAi2dlteMpNmJE1CMlX890b0bO7dnMsl5BZYBsDsffG2y3IGkAl5Rq6ZVlYKrnJ1ThKrDSjIjRCcyUuSTNMHm1HKGC2vyHLT4OBpPfZHuglt0598jJ6-d86PdIfjd-gOdB0OTfwt2Dn6cmpjSD-D_xr60MXphlzU2E4--c8F2T4-bItVun59ei6W6zRYFlPJLBoUKteqNIxZXVeuzJ20smQoK5hxlUEpAGoErmoARMulzUFh5QRfkLu_2eC93w9jOM7n9rOvpeb8B1_hSOY</recordid><startdate>201105</startdate><enddate>201105</enddate><creator>Mikhnevich, M.</creator><creator>Hebert, P.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201105</creationdate><title>Shape from Silhouette Under Varying Lighting and Multi-viewpoints</title><author>Mikhnevich, M. ; Hebert, P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-509a8a46276b80097fcdb2d595b0a5c1111dc8a5411fa136f11aa9359216acd43</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Cameras</topic><topic>Estimation</topic><topic>graph cut</topic><topic>Image color analysis</topic><topic>Image segmentation</topic><topic>Light sources</topic><topic>Lighting</topic><topic>multi-view</topic><topic>Pixel</topic><topic>segmentation</topic><topic>shape from silhouette</topic><topic>visual hull</topic><toplevel>online_resources</toplevel><creatorcontrib>Mikhnevich, M.</creatorcontrib><creatorcontrib>Hebert, P.</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>Mikhnevich, M.</au><au>Hebert, P.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Shape from Silhouette Under Varying Lighting and Multi-viewpoints</atitle><btitle>2011 Canadian Conference on Computer and Robot Vision</btitle><stitle>crv</stitle><date>2011-05</date><risdate>2011</risdate><spage>285</spage><epage>292</epage><pages>285-292</pages><isbn>9781612844305</isbn><isbn>1612844308</isbn><eisbn>0769543626</eisbn><eisbn>9780769543628</eisbn><abstract>We present a new segmentation method for visual hull (VH) reconstruction from an image sequence. The camera moves on a hemisphere around an object set on a turntable with complex and unknown background. Even though the background is assumed to be constant, it cannot be modeled from all possible viewpoints. A series of images of a moving object under different lighting conditions are captured and analyzed. In this analysis, information from space, time and light domains are fused into an MRF framework. The method is validated by VH reconstruction of challenging objects with different optical properties.</abstract><pub>IEEE</pub><doi>10.1109/CRV.2011.45</doi><tpages>8</tpages></addata></record> |
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subjects | Cameras Estimation graph cut Image color analysis Image segmentation Light sources Lighting multi-view Pixel segmentation shape from silhouette visual hull |
title | Shape from Silhouette Under Varying Lighting and Multi-viewpoints |
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