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3-D surface solution using structured light and constraint propagation
A method for 3-D surface measurement using a projected grid of light is presented. The grid line identification problem is solved using very general constraints. At the same time, 3-D surface patch solutions are developed. From the general constraints of set of geometric and topological rules are de...
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Published in: | IEEE transactions on pattern analysis and machine intelligence 1989-04, Vol.11 (4), p.390-402 |
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container_title | IEEE transactions on pattern analysis and machine intelligence |
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creator | Hu, G. Stockman, G. |
description | A method for 3-D surface measurement using a projected grid of light is presented. The grid line identification problem is solved using very general constraints. At the same time, 3-D surface patch solutions are developed. From the general constraints of set of geometric and topological rules are derived that are effectively applied in the computation of grid labels and hence 3-D surface solutions. A set of five algorithms has been applied on five real scenes consisting of multiple objects of arbitrary shapes. The results show that globally consistent surface solutions can be obtained rapidly with good accuracy using a single image. A small degree of ambiguity remains, but can be further reduced or removed using increased knowledge.< > |
doi_str_mv | 10.1109/34.19035 |
format | article |
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The grid line identification problem is solved using very general constraints. At the same time, 3-D surface patch solutions are developed. From the general constraints of set of geometric and topological rules are derived that are effectively applied in the computation of grid labels and hence 3-D surface solutions. A set of five algorithms has been applied on five real scenes consisting of multiple objects of arbitrary shapes. The results show that globally consistent surface solutions can be obtained rapidly with good accuracy using a single image. A small degree of ambiguity remains, but can be further reduced or removed using increased knowledge.< ></description><identifier>ISSN: 0162-8828</identifier><identifier>EISSN: 1939-3539</identifier><identifier>EISSN: 2160-9292</identifier><identifier>DOI: 10.1109/34.19035</identifier><identifier>CODEN: ITPIDJ</identifier><language>eng</language><publisher>Los Alamitos, CA: IEEE</publisher><subject>Applied sciences ; Artificial intelligence ; Cameras ; Computer science; control theory; systems ; Exact sciences and technology ; Eyes ; Humans ; Layout ; Light sources ; Machine vision ; Optical propagation ; Pattern recognition. Digital image processing. 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The grid line identification problem is solved using very general constraints. At the same time, 3-D surface patch solutions are developed. From the general constraints of set of geometric and topological rules are derived that are effectively applied in the computation of grid labels and hence 3-D surface solutions. A set of five algorithms has been applied on five real scenes consisting of multiple objects of arbitrary shapes. The results show that globally consistent surface solutions can be obtained rapidly with good accuracy using a single image. A small degree of ambiguity remains, but can be further reduced or removed using increased knowledge.< ></description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Cameras</subject><subject>Computer science; control theory; systems</subject><subject>Exact sciences and technology</subject><subject>Eyes</subject><subject>Humans</subject><subject>Layout</subject><subject>Light sources</subject><subject>Machine vision</subject><subject>Optical propagation</subject><subject>Pattern recognition. Digital image processing. Computational geometry</subject><subject>Robot sensing systems</subject><subject>Robotic assembly</subject><subject>Surface texture</subject><issn>0162-8828</issn><issn>1939-3539</issn><issn>2160-9292</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1989</creationdate><recordtype>article</recordtype><recordid>eNqNkD1PwzAQhi0EEqUgsbJ5QIglxRfbsT0ioIBUiQXm6OLYxShNip0M_HvSD8EI00mn5567ewk5BzYDYOaGixkYxuUBmYDhJuOSm0MyYVDkmda5PiYnKX0wBkIyPiFznt3TNESP1tHUNUMfupYOKbRLmvo42H6IrqZNWL73FNua2q4d-xjanq5jt8YlbiZOyZHHJrmzfZ2St_nD691Ttnh5fL67XWRWcOgzNLUqqgK1QwQArtAh89LqnBnFPOqKV0wVzNcOqkpVTgvhmVJaIzeiRj4lVzvvuPtzcKkvVyFZ1zTYum5IZa5BivHtv0EJoLhU_wPzMdEpud6BNnYpRefLdQwrjF8lsHITfclFuY1-RC_3TkwWGx-xtSH98CqXBcs3N17ssOCc-7VtFd86qIqF</recordid><startdate>19890401</startdate><enddate>19890401</enddate><creator>Hu, G.</creator><creator>Stockman, G.</creator><general>IEEE</general><general>IEEE Computer Society</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope><scope>7SC</scope><scope>JQ2</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>19890401</creationdate><title>3-D surface solution using structured light and constraint propagation</title><author>Hu, G. ; Stockman, G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c431t-a9d76b6a8eaa11137aea0f5c820970fa8b3b0760fde1bb7be844f07788a394da3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1989</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Cameras</topic><topic>Computer science; control theory; systems</topic><topic>Exact sciences and technology</topic><topic>Eyes</topic><topic>Humans</topic><topic>Layout</topic><topic>Light sources</topic><topic>Machine vision</topic><topic>Optical propagation</topic><topic>Pattern recognition. Digital image processing. Computational geometry</topic><topic>Robot sensing systems</topic><topic>Robotic assembly</topic><topic>Surface texture</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hu, G.</creatorcontrib><creatorcontrib>Stockman, G.</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts</collection><collection>ProQuest Computer Science Collection</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</fulltext></delivery><addata><au>Hu, G.</au><au>Stockman, G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>3-D surface solution using structured light and constraint propagation</atitle><jtitle>IEEE transactions on pattern analysis and machine intelligence</jtitle><stitle>TPAMI</stitle><date>1989-04-01</date><risdate>1989</risdate><volume>11</volume><issue>4</issue><spage>390</spage><epage>402</epage><pages>390-402</pages><issn>0162-8828</issn><eissn>1939-3539</eissn><eissn>2160-9292</eissn><coden>ITPIDJ</coden><abstract>A method for 3-D surface measurement using a projected grid of light is presented. The grid line identification problem is solved using very general constraints. At the same time, 3-D surface patch solutions are developed. From the general constraints of set of geometric and topological rules are derived that are effectively applied in the computation of grid labels and hence 3-D surface solutions. A set of five algorithms has been applied on five real scenes consisting of multiple objects of arbitrary shapes. The results show that globally consistent surface solutions can be obtained rapidly with good accuracy using a single image. A small degree of ambiguity remains, but can be further reduced or removed using increased knowledge.< ></abstract><cop>Los Alamitos, CA</cop><pub>IEEE</pub><doi>10.1109/34.19035</doi><tpages>13</tpages></addata></record> |
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ispartof | IEEE transactions on pattern analysis and machine intelligence, 1989-04, Vol.11 (4), p.390-402 |
issn | 0162-8828 1939-3539 2160-9292 |
language | eng |
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source | IEEE Electronic Library (IEL) Journals |
subjects | Applied sciences Artificial intelligence Cameras Computer science control theory systems Exact sciences and technology Eyes Humans Layout Light sources Machine vision Optical propagation Pattern recognition. Digital image processing. Computational geometry Robot sensing systems Robotic assembly Surface texture |
title | 3-D surface solution using structured light and constraint propagation |
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