Repairing triangle meshes built from scanned point cloud
The Reverse Engineering process consists of a succession of operations that aim at creating a digital representation of a physical model. The reconstructed geometric model is often a triangle mesh built from a point cloud acquired with a scanner. Depending on both the object complexity and the scann...
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Veröffentlicht in: | Journal of engineering design 2007-10, Vol.18 (5), p.459-473 |
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creator | Pernot, J-P. Moraru, G. Véron, P. |
description | The Reverse Engineering process consists of a succession of operations that aim at creating a digital representation of a physical model. The reconstructed geometric model is often a triangle mesh built from a point cloud acquired with a scanner. Depending on both the object complexity and the scanning process, some areas of the object outer surface may never be accessible, thus inducing some deficiencies in the point cloud and, as a consequence, some holes in the resulting mesh. This is simply not acceptable in an integrated design process where the geometric models are often shared between the various applications (e.g. design, simulation, manufacturing). In this paper, we propose a complete toolbox to fill in these undesirable holes. The hole contour is first cleaned to remove badly-shaped triangles that are due to the scanner noise. A topological grid is then inserted and deformed to satisfy blending conditions with the surrounding mesh. In our approach, the shape of the inserted mesh results from the minimization of a quadratic function based on a linear mechanical model that is used to approximate the curvature variation between the inner and surrounding meshes. Additional geometric constraints can also be specified to further shape the inserted mesh. The proposed approach is illustrated with some examples coming from our prototype software. |
doi_str_mv | 10.1080/09544820701403797 |
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The reconstructed geometric model is often a triangle mesh built from a point cloud acquired with a scanner. Depending on both the object complexity and the scanning process, some areas of the object outer surface may never be accessible, thus inducing some deficiencies in the point cloud and, as a consequence, some holes in the resulting mesh. This is simply not acceptable in an integrated design process where the geometric models are often shared between the various applications (e.g. design, simulation, manufacturing). In this paper, we propose a complete toolbox to fill in these undesirable holes. The hole contour is first cleaned to remove badly-shaped triangles that are due to the scanner noise. A topological grid is then inserted and deformed to satisfy blending conditions with the surrounding mesh. In our approach, the shape of the inserted mesh results from the minimization of a quadratic function based on a linear mechanical model that is used to approximate the curvature variation between the inner and surrounding meshes. Additional geometric constraints can also be specified to further shape the inserted mesh. 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In our approach, the shape of the inserted mesh results from the minimization of a quadratic function based on a linear mechanical model that is used to approximate the curvature variation between the inner and surrounding meshes. Additional geometric constraints can also be specified to further shape the inserted mesh. The proposed approach is illustrated with some examples coming from our prototype software.</description><subject>Approximated curvature variation minimization</subject><subject>Computer Aided Engineering</subject><subject>Computer Science</subject><subject>Design</subject><subject>Geometric modelling</subject><subject>Holes in meshes</subject><subject>Integrated design</subject><subject>Manufacturing</subject><subject>Reverse Engineering</subject><subject>Shape manipulations</subject><subject>Simulation</subject><subject>Triangle mesh deformation</subject><issn>0954-4828</issn><issn>1466-1837</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2007</creationdate><recordtype>article</recordtype><recordid>eNqFkEtLxDAQgIMouD5-gLfiQfBQnaRJm4KXZfEFC4LoOcQ00Sxpsiatj39vlhUPLuJpYOb75oXQEYYzDBzOoWWUcgINYApV0zZbaIJpXZeYV802mqzqZQb4LtpLaQGQJcImiN_rpbTR-udiiFb6Z6eLXqcXnYqn0bqhMDH0RVLSe90Vy2D9UCgXxu4A7Rjpkj78jvvo8eryYXZTzu-ub2fTeakox0NpOlCKGNPSqgMNRuPmKadwXprWhHEMddd0kknGGJFcSc6ritWmZS1oCqTaR6frvi_SiWW0vYyfIkgrbqZzscoBBgI1rt9wZk_W7DKG11GnQfQ2Ke2c9DqMSVQZZTWjGTz-BS7CGH2-QxBMCbQNXXXDa0jFkFLU5mc8BrF6uth4enaatWO9CbGX7yG6Tgzy04VoovTKpk1LDB9DNi_-Nau_B38BJcqWyg</recordid><startdate>20071001</startdate><enddate>20071001</enddate><creator>Pernot, J-P.</creator><creator>Moraru, G.</creator><creator>Véron, P.</creator><general>Taylor & Francis</general><general>Taylor & Francis Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0002-4062-2432</orcidid></search><sort><creationdate>20071001</creationdate><title>Repairing triangle meshes built from scanned point cloud</title><author>Pernot, J-P. ; Moraru, G. ; Véron, P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c481t-fd0cc2ff943d0e0fe17bd0c110846258106d7da5a5552a8ca883356f9590e4023</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Approximated curvature variation minimization</topic><topic>Computer Aided Engineering</topic><topic>Computer Science</topic><topic>Design</topic><topic>Geometric modelling</topic><topic>Holes in meshes</topic><topic>Integrated design</topic><topic>Manufacturing</topic><topic>Reverse Engineering</topic><topic>Shape manipulations</topic><topic>Simulation</topic><topic>Triangle mesh deformation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pernot, J-P.</creatorcontrib><creatorcontrib>Moraru, G.</creatorcontrib><creatorcontrib>Véron, P.</creatorcontrib><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Journal of engineering design</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pernot, J-P.</au><au>Moraru, G.</au><au>Véron, P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Repairing triangle meshes built from scanned point cloud</atitle><jtitle>Journal of engineering design</jtitle><date>2007-10-01</date><risdate>2007</risdate><volume>18</volume><issue>5</issue><spage>459</spage><epage>473</epage><pages>459-473</pages><issn>0954-4828</issn><eissn>1466-1837</eissn><coden>JEDSEW</coden><abstract>The Reverse Engineering process consists of a succession of operations that aim at creating a digital representation of a physical model. 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In our approach, the shape of the inserted mesh results from the minimization of a quadratic function based on a linear mechanical model that is used to approximate the curvature variation between the inner and surrounding meshes. Additional geometric constraints can also be specified to further shape the inserted mesh. The proposed approach is illustrated with some examples coming from our prototype software.</abstract><cop>Abingdon</cop><pub>Taylor & Francis</pub><doi>10.1080/09544820701403797</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0002-4062-2432</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Approximated curvature variation minimization Computer Aided Engineering Computer Science Design Geometric modelling Holes in meshes Integrated design Manufacturing Reverse Engineering Shape manipulations Simulation Triangle mesh deformation |
title | Repairing triangle meshes built from scanned point cloud |
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