2016
DOI: 10.1016/j.tust.2016.04.009
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Applications of mesh parameterization and deformation for unwrapping 3D images of rock tunnels

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Cited by 15 publications
(12 citation statements)
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“…Unwrapping a 3D tunnel mesh as a 2D mesh is a mesh parameterization problem, but if we do not take into account some constraints, the direct unwrapping of the tunnel mesh based on existing algorithms will result in substantial distortions, a loss of details, or the inability to maintain the global shape of the tunnel. Reference [6] analyzed the applicability of two parameterization algorithms (LSCM) [9] and (ABF, ABF++) [10]), and these algorithms exhibited twisted shapes and were not intuitive to interpret. Instead of improving them, the authors [6] proposed a mesh deformation and projection algorithm that is reasonably intuitive to unwrap the 3D mesh as a 2D mesh.…”
Section: Related Workmentioning
confidence: 99%
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“…Unwrapping a 3D tunnel mesh as a 2D mesh is a mesh parameterization problem, but if we do not take into account some constraints, the direct unwrapping of the tunnel mesh based on existing algorithms will result in substantial distortions, a loss of details, or the inability to maintain the global shape of the tunnel. Reference [6] analyzed the applicability of two parameterization algorithms (LSCM) [9] and (ABF, ABF++) [10]), and these algorithms exhibited twisted shapes and were not intuitive to interpret. Instead of improving them, the authors [6] proposed a mesh deformation and projection algorithm that is reasonably intuitive to unwrap the 3D mesh as a 2D mesh.…”
Section: Related Workmentioning
confidence: 99%
“…Reference [6] analyzed the applicability of two parameterization algorithms (LSCM) [9] and (ABF, ABF++) [10]), and these algorithms exhibited twisted shapes and were not intuitive to interpret. Instead of improving them, the authors [6] proposed a mesh deformation and projection algorithm that is reasonably intuitive to unwrap the 3D mesh as a 2D mesh. However, since mesh deformation and projection require many user interactions and expertise, this method results in a low degree of automation and massive distortion.…”
Section: Related Workmentioning
confidence: 99%
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