dc.contributor.author | Lupinetti, Katia | en_US |
dc.contributor.author | Giannini, Franca | en_US |
dc.contributor.author | monti, marina | en_US |
dc.contributor.author | PERNOT, Jean-Philippe | en_US |
dc.contributor.editor | Biasotti, Silvia and Lavoué, Guillaume and Veltkamp, Remco | en_US |
dc.date.accessioned | 2019-05-04T14:06:03Z | |
dc.date.available | 2019-05-04T14:06:03Z | |
dc.date.issued | 2019 | |
dc.identifier.isbn | 978-3-03868-077-2 | |
dc.identifier.issn | 1997-0471 | |
dc.identifier.uri | https://doi.org/10.2312/3dor.20191065 | |
dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/3dor20191065 | |
dc.description.abstract | Evaluating the effectiveness of the systems for the retrieval of 3D assembly models is not trivial. CAD assembly models can be considered similar according to different criteria and at different levels (i.e. globally or partially). Indeed, besides the shape criterion, CAD assembly models have further characteristic elements, such as the mutual position of parts, or the type of connecting joint. Thus, when retrieving 3D models, these characteristics can match in the entire model (globally) or just in local subparts (partially). The available 3D model repositories do not include complex CAD assembly models and, generally, they are suitable to evaluate one characteristic at a time and neglecting important properties in the evaluation of assembly similarity. In this paper, we present a benchmark for the evaluation of content-retrieval systems of 3D assembly models. A crucial feature of this benchmark regards its ability to consider the various aspects characterizing the models of mechanical assemblies. | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.subject | Information Storage and Retrieval | |
dc.subject | Information Search and Retrieval | |
dc.subject | Computer graphics | |
dc.subject | Miscellaneous | |
dc.title | A 3D CAD Assembly Benchmark | en_US |
dc.description.seriesinformation | Eurographics Workshop on 3D Object Retrieval | |
dc.description.sectionheaders | Paper Session 2 | |
dc.identifier.doi | 10.2312/3dor.20191065 | |
dc.identifier.pages | 79-83 | |