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Retrieval and classification methods for textured 3D models: a comparative study

Abstract : This paper presents a comparative study of six methods for the retrieval and classification of tex-tured 3D models, which have been selected as representative of the state of the art. To better analyse and control how methods deal with specific classes of geometric and texture deformations, we built a collection of 572 synthetic textured mesh models, in which each class includes multiple texture and geometric modifications of a small set of null models. Results show a challenging, yet lively, scenario and also reveal interesting insights in how to deal with texture information according to different approaches, possibly working in the CIELab as well as in modifications of the RGB colour space.
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https://hal.archives-ouvertes.fr/hal-01250277
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Submitted on : Tuesday, January 5, 2016 - 4:49:53 PM
Last modification on : Monday, March 21, 2022 - 5:22:04 PM
Long-term archiving on: : Thursday, April 7, 2016 - 2:52:34 PM

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S Biasotti, A Cerri, M Aono, A Ben Hamza, V Garro, et al.. Retrieval and classification methods for textured 3D models: a comparative study. The Visual Computer, Springer Verlag, 2015, 32 (2), pp.217-241. ⟨10.1007/s00371-015-1146-3⟩. ⟨hal-01250277⟩

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