Reliable Rolling-guided Point Normal Filtering for Surface Texture Removal
| dc.contributor.author | Sun, Yangxing | en_US |
| dc.contributor.author | Chen, Honghua | en_US |
| dc.contributor.author | Qin, Jing | en_US |
| dc.contributor.author | Li, Hongwei | en_US |
| dc.contributor.author | Wei, Mingqiang | en_US |
| dc.contributor.author | Zong, Hua | en_US |
| dc.contributor.editor | Lee, Jehee and Theobalt, Christian and Wetzstein, Gordon | en_US |
| dc.date.accessioned | 2019-10-14T05:10:22Z | |
| dc.date.available | 2019-10-14T05:10:22Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | Semantic 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.description.number | 7 | |
| dc.description.sectionheaders | Surface and Texture | |
| dc.description.seriesinformation | Computer Graphics Forum | |
| dc.description.volume | 38 | |
| dc.identifier.doi | 10.1111/cgf.13874 | |
| dc.identifier.issn | 1467-8659 | |
| dc.identifier.pages | 721-732 | |
| dc.identifier.uri | https://doi.org/10.1111/cgf.13874 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.1111/cgf13874 | |
| dc.publisher | The Eurographics Association and John Wiley & Sons Ltd. | en_US |
| dc.subject | Computing methodologies | |
| dc.subject | Point | |
| dc.subject | based models | |
| dc.subject | Shape analysis | |
| dc.title | Reliable Rolling-guided Point Normal Filtering for Surface Texture Removal | en_US |