Retrieval and Classification on Textured 3D Models

Abstract
This paper reports the results of the SHREC'14 track: Retrieval and classification on textured 3D models, whose goal is to evaluate the performance of retrieval algorithms when models vary either by geometric shape or texture, or both. The collection to search in is made of 572 textured mesh models, having a two-level classification based on geometry and texture. Together with the dataset, a training set of 96 models was provided. The track saw eight participants and the submission of 22 runs, to either the retrieval or the classification contest, or both. The evaluation results show a promising scenario about textured 3D retrieval methods, and reveal interesting insights in dealing with texture information in the CIELab rather than in the RGB colour space.
Description

        
@inproceedings{
10.2312:3dor.20141057
http::/hdl.handle.net/10.2312/3dor.20141057.111-120
, booktitle = {
Eurographics Workshop on 3D Object Retrieval
}, editor = {
Benjamin Bustos and Hedi Tabia and Jean-Philippe Vandeborre and Remco Veltkamp
}, title = {{
Retrieval and Classification on Textured 3D Models
}}, author = {
Biasotti, S.
and
Cerri, A.
and
Godil, A.
and
Li, C.
and
Liu, Y.-J.
and
Martono, H. Y.
and
Sanada, C.
and
Tatsuma, A.
and
Velasco-Forero, S.
and
Xu, C.-X.
and
Abdelrahman, M.
and
Aono, M.
and
Hamza, A. Ben
and
El-Melegy, M.
and
Farag, A.
and
Garro, V.
and
Giachetti, A.
and
Giorgi, D.
}, year = {
2014
}, publisher = {
The Eurographics Association
}, ISSN = {
1997-0463
}, ISBN = {
978-3-905674-58-3
}, DOI = {
10.2312/3dor.20141057
http://hdl.handle.net/10.2312/3dor.20141057.111-120
} }
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