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3D Shape Reconstruction of Moving Object By Tracking the Sparse Singular Points
In this paper we propose a method to reconstruct the 3D shape of object using its different silhouettes through the rigid movement. The moving object is captured by two cameras during time. A robust curve stereo matching algorithm is employed to extract the precise location of some singular-points f...
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| creator | Ebrahimnezhad, H. Ghassemian, H. |
| description | In this paper we propose a method to reconstruct the 3D shape of object using its different silhouettes through the rigid movement. The moving object is captured by two cameras during time. A robust curve stereo matching algorithm is employed to extract the precise location of some singular-points for any sequence. The motion of object is estimated by tracking these points and a large number of cameras can be constructed for the moving object during time. Finally, the silhouette cones of all virtual cameras are intersected to extract the fine visual hull. In the proposed method, the quality of reconstruction is improved by fusing the advantages of silhouette, motion and stereo. Because of using the curve matching scheme instead of color matching, our method is less sensitive to color adjustment between cameras and illumination changes of light source. Our method is applicable also to the low-texture object |
| doi_str_mv | 10.1109/MMSP.2006.285295 |
| format | conference_proceeding |
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Our method is applicable also to the low-texture object</description><subject>Calibration</subject><subject>Cameras</subject><subject>curve stereo matching</subject><subject>Image reconstruction</subject><subject>motion</subject><subject>Motion estimation</subject><subject>Robustness</subject><subject>Shape</subject><subject>silhouette</subject><subject>Sparse matrices</subject><subject>sparse singular points</subject><subject>Stereo vision</subject><subject>Surface reconstruction</subject><subject>Tracking</subject><subject>visual hull</subject><isbn>9780780397514</isbn><isbn>0780397517</isbn><isbn>9780780397521</isbn><isbn>0780397525</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNpVTt1LwzAcjIigzL4LvuQf6MzXr00edX7CSoedzyNtE5c525Jkwv57I_ricXDcwR2H0BUlc0qJuqmqZjVnhBRzJoEpOEGZKiVJ5KoERk__eSrOURbCjiRwBaDgAtX8HjdbPRn8arpxCNEfuujGAY8WV-OXG95x3e5MF_HdEa-97j5-org1uJm0D0mSP-y1x6vRDTFcojOr98FkfzpDb48P68VzvqyfXha3y9zREmIuJdjSKkELMEZoK1oj-rKQnDMQzFJJWiMZsVwxWbTU9ip9Zl2fOkCp1nyGrn93nTFmM3n3qf1xI0ghQAD_BuTQTxU</recordid><startdate>200610</startdate><enddate>200610</enddate><creator>Ebrahimnezhad, H.</creator><creator>Ghassemian, H.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200610</creationdate><title>3D Shape Reconstruction of Moving Object By Tracking the Sparse Singular Points</title><author>Ebrahimnezhad, H. ; Ghassemian, H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-885f7f94165ee4af4be4d768332542f180be820f39286b1fd90002cd7f9511aa3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Calibration</topic><topic>Cameras</topic><topic>curve stereo matching</topic><topic>Image reconstruction</topic><topic>motion</topic><topic>Motion estimation</topic><topic>Robustness</topic><topic>Shape</topic><topic>silhouette</topic><topic>Sparse matrices</topic><topic>sparse singular points</topic><topic>Stereo vision</topic><topic>Surface reconstruction</topic><topic>Tracking</topic><topic>visual hull</topic><toplevel>online_resources</toplevel><creatorcontrib>Ebrahimnezhad, H.</creatorcontrib><creatorcontrib>Ghassemian, H.</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 Xplore</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>Ebrahimnezhad, H.</au><au>Ghassemian, H.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>3D Shape Reconstruction of Moving Object By Tracking the Sparse Singular Points</atitle><btitle>2006 IEEE Workshop on Multimedia Signal Processing</btitle><stitle>MMSP</stitle><date>2006-10</date><risdate>2006</risdate><spage>192</spage><epage>197</epage><pages>192-197</pages><isbn>9780780397514</isbn><isbn>0780397517</isbn><eisbn>9780780397521</eisbn><eisbn>0780397525</eisbn><abstract>In this paper we propose a method to reconstruct the 3D shape of object using its different silhouettes through the rigid movement. The moving object is captured by two cameras during time. A robust curve stereo matching algorithm is employed to extract the precise location of some singular-points for any sequence. The motion of object is estimated by tracking these points and a large number of cameras can be constructed for the moving object during time. Finally, the silhouette cones of all virtual cameras are intersected to extract the fine visual hull. In the proposed method, the quality of reconstruction is improved by fusing the advantages of silhouette, motion and stereo. Because of using the curve matching scheme instead of color matching, our method is less sensitive to color adjustment between cameras and illumination changes of light source. Our method is applicable also to the low-texture object</abstract><pub>IEEE</pub><doi>10.1109/MMSP.2006.285295</doi><tpages>6</tpages></addata></record> |
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| identifier | ISBN: 9780780397514 |
| ispartof | 2006 IEEE Workshop on Multimedia Signal Processing, 2006, p.192-197 |
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| language | eng |
| recordid | cdi_ieee_primary_4064545 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Calibration Cameras curve stereo matching Image reconstruction motion Motion estimation Robustness Shape silhouette Sparse matrices sparse singular points Stereo vision Surface reconstruction Tracking visual hull |
| title | 3D Shape Reconstruction of Moving Object By Tracking the Sparse Singular Points |
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