Shape Similarity System driven by Digital Elevation Models for Non-rigid Shape Retrieval
| dc.contributor.author | Craciun, Daniela | en_US |
| dc.contributor.author | Levieux, Guillaume | en_US |
| dc.contributor.author | Montes, Matthieu | en_US |
| dc.contributor.editor | Ioannis Pratikakis and Florent Dupont and Maks Ovsjanikov | en_US |
| dc.date.accessioned | 2017-04-22T17:17:41Z | |
| dc.date.available | 2017-04-22T17:17:41Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | Shape similarity computation is the main functionality for shape matching and shape retrieval systems. Existing shape similarity frameworks proceed by parameterizing shapes through the use of global and/or local representations computed in the 3D or 2D space. Up to now, global methods have demonstrated their rapidity, while local approaches offer slower, but more accurate solutions. This paper presents a shape similarity system driven by a global descriptor encoded as a Digital Elevation Model (DEM) associated to the input mesh. The DEM descriptor is obtained through the jointly use of a mesh flattening technique and a 2D panoramic projection. Experimental results on the public dataset TOSCA [BBK08] and a comparison with state-of-the-art methods illustrate the effectiveness of the proposed method in terms of accuracy and efficiency. | en_US |
| dc.description.sectionheaders | Posters | |
| dc.description.seriesinformation | Eurographics Workshop on 3D Object Retrieval | |
| dc.identifier.doi | 10.2312/3dor.20171051 | |
| dc.identifier.isbn | 978-3-03868-030-7 | |
| dc.identifier.issn | 1997-0471 | |
| dc.identifier.pages | 51-54 | |
| dc.identifier.uri | https://doi.org/10.2312/3dor.20171051 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/3dor20171051 | |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | Design Methodology [Pattern Recognition] | |
| dc.subject | I.5.1 | |
| dc.subject | Pattern analysis | |
| dc.title | Shape Similarity System driven by Digital Elevation Models for Non-rigid Shape Retrieval | en_US |
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