Relief Pattern Segmentation Using 2D-Grid Patches on a Locally Ordered Mesh Manifold
dc.contributor.author | Tortorici, Claudio | en_US |
dc.contributor.author | Vreshtazi, Denis | en_US |
dc.contributor.author | Berretti, Stefano | en_US |
dc.contributor.author | Werghi, Naoufel | en_US |
dc.contributor.editor | Agus, Marco and Corsini, Massimiliano and Pintus, Ruggero | en_US |
dc.date.accessioned | 2019-11-20T08:12:44Z | |
dc.date.available | 2019-11-20T08:12:44Z | |
dc.date.issued | 2019 | |
dc.description.abstract | The mesh manifold support has been analyzed to perform several different tasks. Recently, it emerged the need for new methods capable of analyzing relief patterns on the surface. In particular, a new and not investigated problem is that of segmenting the surface according to the presence of different relief patterns. In this paper, we introduce this problem and propose a new approach for segmenting such relief patterns (also called geometric texture) on the mesh-manifold. Operating on regular and ordered mesh, we design, in the first part of the paper, a new mesh re-sampling technique complying with this requirement. This technique ensures the best trade-off between mesh regularization and geometric texture preservation, when compared with competitive methods. In the second part, we present a novel scheme for segmenting a mesh surface into three classes: texturedsurface, non-textured surface, and edges (i.e., surfaces at the border between the two). This technique leverages the ordered structure of the mesh for deriving 2D-grid patches allowing us to approach the segmentation problem as a patch-classification technique using a CNN network in a transfer learning setting. Experiments performed on surface samples from the SHREC'18 contest show remarkable performance with an overall segmentation accuracy of over 99%. | en_US |
dc.description.sectionheaders | Posters | |
dc.description.seriesinformation | Smart Tools and Apps for Graphics - Eurographics Italian Chapter Conference | |
dc.identifier.doi | 10.2312/stag.20191372 | |
dc.identifier.isbn | 978-3-03868-100-7 | |
dc.identifier.issn | 2617-4855 | |
dc.identifier.pages | 109-110 | |
dc.identifier.uri | https://doi.org/10.2312/stag.20191372 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/stag20191372 | |
dc.publisher | The Eurographics Association | en_US |
dc.subject | Computing methodologies | |
dc.subject | Shape analysis | |
dc.subject | Shape representations | |
dc.subject | Mesh geometry models | |
dc.title | Relief Pattern Segmentation Using 2D-Grid Patches on a Locally Ordered Mesh Manifold | en_US |
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