Range imaging with adaptive color structured light
In range sensing with time-multiplexed structured light, there is a trade-off between accuracy, robustness and the acquisition period. In this paper a novel structured light method is described. Adaptation of the number and form of the projection patterns to the characteristics of the scene takes pl...
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Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence 1998-05, Vol.20 (5), p.470-480 |
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description | In range sensing with time-multiplexed structured light, there is a trade-off between accuracy, robustness and the acquisition period. In this paper a novel structured light method is described. Adaptation of the number and form of the projection patterns to the characteristics of the scene takes place as part of the acquisition process. Noise margins are matched to the actual noise level, thus reducing the number of projection patterns to the necessary minimum. Color is used for light plane labeling. The dimension of the pattern space are thus increased without raising the number of projection patterns. It is shown that the color of an impinging light plane can be identified from the image of the illuminated scene, even with colorful scenes. Identification is local and does not rely on spatial color sequences. The suggested approach has been implemented and the theoretical results are supported by experiments. |
doi_str_mv | 10.1109/34.682177 |
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In this paper a novel structured light method is described. Adaptation of the number and form of the projection patterns to the characteristics of the scene takes place as part of the acquisition process. Noise margins are matched to the actual noise level, thus reducing the number of projection patterns to the necessary minimum. Color is used for light plane labeling. The dimension of the pattern space are thus increased without raising the number of projection patterns. It is shown that the color of an impinging light plane can be identified from the image of the illuminated scene, even with colorful scenes. Identification is local and does not rely on spatial color sequences. The suggested approach has been implemented and the theoretical results are supported by experiments.</description><subject>Cameras</subject><subject>Colored noise</subject><subject>Labeling</subject><subject>Layout</subject><subject>Light sources</subject><subject>Lighting</subject><subject>Noise level</subject><subject>Noise reduction</subject><subject>Reflective binary codes</subject><subject>Robustness</subject><issn>0162-8828</issn><issn>1939-3539</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1998</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNqF0DtLBDEUBeAgCq6PwtZqKsFi1rwnKWXxBQuCaB1uMslsZHZnTTKK_96VWWytTnE-LtyD0AXBc0KwvmF8LhUlTXOAZkQzXTPB9CGaYSJprRRVx-gk53eMCReYzRB9gU3nq7iGLm666iuWVQUtbEv89JUb-iFVuaTRlTH5tupjtypn6ChAn_35Pk_R2_3d6-KxXj4_PC1ul7VjWJXaKo1to1wrhQPc6la7hijGpbXYO-lcEFZyC5jiEAACaEtAMKBALG-DY6foarq7TcPH6HMx65id73vY-GHMhiohFBXN_1A2lHOmd_B6gi4NOScfzDbtPk_fhmDzO59h3Ezz7ezlZKP3_s_tyx8oZmrY</recordid><startdate>19980501</startdate><enddate>19980501</enddate><creator>Caspi, D.</creator><creator>Kiryati, N.</creator><creator>Shamir, J.</creator><general>IEEE</general><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>19980501</creationdate><title>Range imaging with adaptive color structured light</title><author>Caspi, D. ; Kiryati, N. ; Shamir, J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c308t-b890b78cd65ca0d9d9c718346bb0ec6ccf5b64ba020ffaafa9b1a53a2a1b4dfc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Cameras</topic><topic>Colored noise</topic><topic>Labeling</topic><topic>Layout</topic><topic>Light sources</topic><topic>Lighting</topic><topic>Noise level</topic><topic>Noise reduction</topic><topic>Reflective binary codes</topic><topic>Robustness</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Caspi, D.</creatorcontrib><creatorcontrib>Kiryati, N.</creatorcontrib><creatorcontrib>Shamir, J.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE transactions on pattern analysis and machine intelligence</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Caspi, D.</au><au>Kiryati, N.</au><au>Shamir, J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Range imaging with adaptive color structured light</atitle><jtitle>IEEE transactions on pattern analysis and machine intelligence</jtitle><stitle>TPAMI</stitle><date>1998-05-01</date><risdate>1998</risdate><volume>20</volume><issue>5</issue><spage>470</spage><epage>480</epage><pages>470-480</pages><issn>0162-8828</issn><eissn>1939-3539</eissn><coden>ITPIDJ</coden><abstract>In range sensing with time-multiplexed structured light, there is a trade-off between accuracy, robustness and the acquisition period. In this paper a novel structured light method is described. Adaptation of the number and form of the projection patterns to the characteristics of the scene takes place as part of the acquisition process. Noise margins are matched to the actual noise level, thus reducing the number of projection patterns to the necessary minimum. Color is used for light plane labeling. The dimension of the pattern space are thus increased without raising the number of projection patterns. It is shown that the color of an impinging light plane can be identified from the image of the illuminated scene, even with colorful scenes. Identification is local and does not rely on spatial color sequences. The suggested approach has been implemented and the theoretical results are supported by experiments.</abstract><pub>IEEE</pub><doi>10.1109/34.682177</doi><tpages>11</tpages></addata></record> |
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ispartof | IEEE transactions on pattern analysis and machine intelligence, 1998-05, Vol.20 (5), p.470-480 |
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subjects | Cameras Colored noise Labeling Layout Light sources Lighting Noise level Noise reduction Reflective binary codes Robustness |
title | Range imaging with adaptive color structured light |
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