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dc.contributor.authorSun, Yangxingen_US
dc.contributor.authorChen, Honghuaen_US
dc.contributor.authorQin, Jingen_US
dc.contributor.authorLi, Hongweien_US
dc.contributor.authorWei, Mingqiangen_US
dc.contributor.authorZong, Huaen_US
dc.contributor.editorLee, Jehee and Theobalt, Christian and Wetzstein, Gordonen_US
dc.description.abstractSemantic surface decomposition (SSD) facilitates various geometry processing and product re-design tasks. Filter-based techniques are meaningful and widely used to achieve the SSD, which however often leads to surface either under-fitting or overfitting. In this paper, we propose a reliable rolling-guided point normal filtering method to decompose textures from a captured point cloud surface. Our method is built on the geometry assumption that 3D surfaces are comprised of an underlying shape (US) and a variety of bump ups and downs (BUDs) on the US. We have three core contributions. First, by considering the BUDs as surface textures, we present a RANSAC-based sub-neighborhood detection scheme to distinguish the US and the textures. Second, to better preserve the US (especially the prominent structures), we introduce a patch shift scheme to estimate the guidance normal for feeding the rolling-guided filter. Third, we formulate a new position updating scheme to alleviate the common uneven distribution of points. Both visual and numerical experiments demonstrate that our method is comparable to state-of-the-art methods in terms of the robustness of texture removal and the effectiveness of the underlying shape preservation.en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectComputing methodologies
dc.subjectbased models
dc.subjectShape analysis
dc.titleReliable Rolling-guided Point Normal Filtering for Surface Texture Removalen_US
dc.description.seriesinformationComputer Graphics Forum
dc.description.sectionheadersSurface and Texture

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  • 38-Issue 7
    Pacific Graphics 2019 - Symposium Proceedings

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