Retrieval of Non-rigid (textured) Shapes Using Low Quality 3D Models

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dc.contributor.author Giachetti, Andrea en_US
dc.contributor.author Farina, Francesco en_US
dc.contributor.author Fornasa, Francesco en_US
dc.contributor.author Tatsuma, Atsushi en_US
dc.contributor.author Sanada, Chika en_US
dc.contributor.author Aono, Masaki en_US
dc.contributor.author Biasotti, Silvia en_US
dc.contributor.author Cerri, Andrea en_US
dc.contributor.author Choi, Sungbin en_US
dc.contributor.editor I. Pratikakis and M. Spagnuolo and T. Theoharis and L. Van Gool and R. Veltkamp en_US
dc.date.accessioned 2015-04-27T11:03:42Z
dc.date.available 2015-04-27T11:03:42Z
dc.date.issued 2015 en_US
dc.identifier.uri http://dx.doi.org/10.2312/3dor.20151067 en_US
dc.description.abstract This paper reports the results of the SHREC 2015 track on retrieval of non-rigid (textured) shapes from low quality 3D models. This track has been organized to test the ability of the algorithms recently proposed by researchers for the retrieval of articulated and textured shapes to deal with real-world deformations and acquisition noise. For this reason we acquired with low cost devices models of plush toys lying on different sides on a platform, with articulated deformations and with different illumination conditions. We obtained in this way three novel and challenging datasets that have been used to organize a contest where the proposed task was the retrieval of istances of the same toy within acquired shapes collections, given a query model. The differences in datasets and tasks were related to the fact that one dataset was built without applying texture to shapes, and the others had texture applied to vertices with two different methods. We evaluated the retrieval results of the proposed techniques using standard evaluation measures: Precision-Recall curve; E-Measure; Discounted Cumulative Gain; Nearest Neighbor, First- Tier (Tier1) and Second-Tier (Tier2), Mean Average Precision. Robustness of methods against texture and shape deformation has also been separately evaluated. en_US
dc.publisher The Eurographics Association en_US
dc.subject I.3.3 [Computer Graphics] en_US
dc.subject Picture/Image Generation en_US
dc.subject Line and curve generation en_US
dc.title Retrieval of Non-rigid (textured) Shapes Using Low Quality 3D Models en_US
dc.description.seriesinformation Eurographics Workshop on 3D Object Retrieval en_US
dc.description.sectionheaders SHREC'15 Tracks en_US
dc.identifier.doi 10.2312/3dor.20151067 en_US
dc.identifier.pages 137-144 en_US


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