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dc.contributor.authorAlgarni, Marei Saeed Mohammed
dc.contributor.authorSundaramoorthi, Ganesh
dc.date.accessioned2017-01-02T08:42:40Z
dc.date.available2017-01-02T08:42:40Z
dc.date.issued2016-09-15
dc.identifier.citationAlgarni M, Sundaramoorthi G (2016) SurfCut: Free-Boundary Surface Extraction. Lecture Notes in Computer Science: 171–186. Available: http://dx.doi.org/10.1007/978-3-319-46478-7_11.
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.doi10.1007/978-3-319-46478-7_11
dc.identifier.urihttp://hdl.handle.net/10754/622255
dc.description.abstractWe present SurfCut, an algorithm for extracting a smooth simple surface with unknown boundary from a noisy 3D image and a seed point. In contrast to existing approaches that extract smooth simple surfaces with boundary, our method requires less user input, i.e., a seed point, rather than a 3D boundary curve. Our method is built on the novel observation that certain ridge curves of a front propagated using the Fast Marching algorithm are likely to lie on the surface. Using the framework of cubical complexes, we design a novel algorithm to robustly extract such ridge curves and form the surface of interest. Our algorithm automatically cuts these ridge curves to form the surface boundary, and then extracts the surface. Experiments show the robustness of our method to errors in the data, and that we achieve higher accuracy with lower computational cost than comparable methods. © Springer International Publishing AG 2016.
dc.description.sponsorshipThis work was supported by KAUST OCRF-2014-CRG3-62140401, and the Visual Computing Center at KAUST.
dc.publisherSpringer Nature
dc.relation.urlhttp://link.springer.com/chapter/10.1007%2F978-3-319-46478-7_11
dc.subjectCubicle complexes
dc.subjectFast Marching methods
dc.subjectMinimal path methods
dc.subjectSegmentation
dc.subjectSurface extraction
dc.titleSurfCut: Free-Boundary Surface Extraction
dc.typeBook Chapter
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentComputer Science Program
dc.contributor.departmentElectrical Engineering Program
dc.contributor.departmentVisual Computing Center (VCC)
dc.identifier.journalLecture Notes in Computer Science
kaust.personAlgarni, Marei Saeed Mohammed
kaust.personSundaramoorthi, Ganesh
kaust.grant.numberOCRF-2014-CRG3-62140401


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