Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/141936
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dc.contributor.authorKawasaki, Taroen_US
dc.contributor.authorJayaraman, Pradeep Kumaren_US
dc.contributor.authorShida, Kentaroen_US
dc.contributor.authorZheng, Jianminen_US
dc.contributor.authorMaekawa, Takashien_US
dc.date.accessioned2020-06-12T01:57:56Z-
dc.date.available2020-06-12T01:57:56Z-
dc.date.issued2018-
dc.identifier.citationKawasaki, T., Jayaraman, P. K., Shida, K., Zheng, J., & Maekawa, T. (2018). An image processing approach to feature-preserving B-spline surface fairing. Computer-Aided Design, 99, 1-10. doi:10.1016/j.cad.2018.01.003en_US
dc.identifier.issn0010-4485en_US
dc.identifier.urihttps://hdl.handle.net/10356/141936-
dc.description.abstractReverse engineering of 3D industrial objects such as automobiles and electric appliances is typically performed by fitting B-spline surfaces to scanned point cloud data with a fairing term to ensure smoothness, which often smooths out sharp features. This paper proposes a radically different approach to constructing fair B-spline surfaces, which consists of fitting a surface without a fairing term to capture sharp edges, smoothing the normal field of the constructed surface with feature preservation, and reconstructing the B-spline surface from the smoothed normal field. The core of our method is an image processing based feature-preserving normal field fairing technique. This is inspired by the success of many recent research works on the use of normal field for reconstructing mesh models, and makes use of the impressive simplicity and effectiveness of bilateral-like filtering for image denoising. In particular, our approach adaptively partitions the B-spline surface into a set of segments such that each segment has approximately uniform parameterization, generates an image from each segment in the parameter space whose pixel values are the normal vectors of the surface, and then applies a bilateral filter in the parameter domain to fair the normal field. As a result, our approach inherits the advantages of image bilateral filtering techniques and is able to effectively smooth B-spline surfaces with feature preservation as demonstrated by various examples.en_US
dc.description.sponsorshipMOE (Min. of Education, S’pore)en_US
dc.language.isoenen_US
dc.relation.ispartofComputer-Aided Designen_US
dc.rights© 2018 Elsevier Ltd. All rights reserved.en_US
dc.subjectEngineering::Computer science and engineeringen_US
dc.titleAn image processing approach to feature-preserving B-spline surface fairingen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.identifier.doi10.1016/j.cad.2018.01.003-
dc.identifier.scopus2-s2.0-85042093056-
dc.identifier.volume99en_US
dc.identifier.spage1en_US
dc.identifier.epage10en_US
dc.subject.keywordsB-spline Fittingen_US
dc.subject.keywordsNormal Fielden_US
item.fulltextNo Fulltext-
item.grantfulltextnone-
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