Efficient Image Vectorisation Using Mesh Colours
dc.contributor.author | Hettinga, Gerben Jan | en_US |
dc.contributor.author | Echevarria, Jose | en_US |
dc.contributor.author | Kosinka, Jiri | en_US |
dc.contributor.editor | Frosini, Patrizio and Giorgi, Daniela and Melzi, Simone and Rodolà , Emanuele | en_US |
dc.date.accessioned | 2021-10-25T11:53:43Z | |
dc.date.available | 2021-10-25T11:53:43Z | |
dc.date.issued | 2021 | |
dc.description.abstract | Image vectorisation methods proposed in the past have not seen wide adoption due to performance, quality, controllability, and/or generality issues.We present a vectorisation method that uses mesh colours as a vector primitive for image vectorisation. We show that mesh colours have clear benefits for rendering performance and texture detail. Due to their flexibility, they also enable a simplified and more efficient generation of meshes of curved triangular patches, which are in our case constrained by our image feature extraction algorithm. The proposed method follows a standard pipeline where each step is efficient and controllable, leading to results that compare favourably with those from previous work. We show results over a variety of input images including photos, drawings, paintings, designs, and cartoons and also devise a user-guided vectorisation variant. | en_US |
dc.description.sectionheaders | Visualization | |
dc.description.seriesinformation | Smart Tools and Apps for Graphics - Eurographics Italian Chapter Conference | |
dc.identifier.doi | 10.2312/stag.20211484 | |
dc.identifier.isbn | 978-3-03868-165-6 | |
dc.identifier.issn | 2617-4855 | |
dc.identifier.pages | 139-150 | |
dc.identifier.uri | https://doi.org/10.2312/stag.20211484 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/stag20211484 | |
dc.publisher | The Eurographics Association | en_US |
dc.subject | Computing methodologies | |
dc.subject | Image processing | |
dc.title | Efficient Image Vectorisation Using Mesh Colours | en_US |
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