Feature-Sized Sampling for Vector Line Art
| dc.contributor.author | Ohrhallinger, Stefan | en_US |
| dc.contributor.author | Parakkat, Amal Dev | en_US |
| dc.contributor.author | Memari, Pooran | en_US |
| dc.contributor.editor | Chaine, Raphaëlle | en_US |
| dc.contributor.editor | Deng, Zhigang | en_US |
| dc.contributor.editor | Kim, Min H. | en_US |
| dc.date.accessioned | 2023-10-09T07:42:38Z | |
| dc.date.available | 2023-10-09T07:42:38Z | |
| dc.date.issued | 2023 | |
| dc.description.abstract | By introducing a first-of-its-kind quantifiable sampling algorithm based on feature size, we present a fresh perspective on the practical aspects of planar curve sampling. Following the footsteps of e-sampling, which was originally proposed in the context of curve reconstruction to offer provable topological guarantees [ABE98] under quantifiable bounds, we propose an arbitrarily precise e-sampling algorithm for sampling smooth planar curves (with a prior bound on the minimum feature size of the curve). This paper not only introduces the first such algorithm which provides user-control and quantifiable precision but also highlights the importance of such a sampling process under two key contexts: 1) To conduct a first study comparing theoretical sampling conditions with practical sampling requirements for reconstruction guarantees that can further be used for analysing the upper bounds of e for various reconstruction algorithms with or without proofs, 2) As a feature-aware sampling of vector line art that can be used for applications such as coloring and meshing. | en_US |
| dc.description.sectionheaders | Motion Capture and Generation | |
| dc.description.seriesinformation | Pacific Graphics Short Papers and Posters | |
| dc.identifier.doi | 10.2312/pg.20231268 | |
| dc.identifier.isbn | 978-3-03868-234-9 | |
| dc.identifier.pages | 31-38 | |
| dc.identifier.pages | 8 pages | |
| dc.identifier.uri | https://doi.org/10.2312/pg.20231268 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/pg20231268 | |
| dc.publisher | The Eurographics Association | en_US |
| dc.rights | Attribution 4.0 International License | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | CCS Concepts: Computing methodologies -> Point-based models; Parametric curve and surface models | |
| dc.subject | Computing methodologies | |
| dc.subject | Point | |
| dc.subject | based models | |
| dc.subject | Parametric curve and surface models | |
| dc.title | Feature-Sized Sampling for Vector Line Art | en_US |