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Publication Citation: SHREC‰14 Track: Retrieval and classification on Textured 3D Models

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Author(s): Afzal A. Godil;
Title: SHREC‰14 Track: Retrieval and classification on Textured 3D Models
Published: June 12, 2014
Abstract: This contribution reports the results of the SHREC 2014 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 twenty runs, participating either in the retrieval or the classification contest, or both.
Conference: Co-event of the 35rd Annual Conference of the European Association for Computer Graphics (Eurographics 2014).
Proceedings: The Seventh Eurographics Workshop on 3D Object Retrieval (3DOR 2014) .
Pages: pp. 1 - 11
Location: Strasbourg, -1
Dates: April 6, 2014
Keywords: 3D shape retrieval algorithms, textured 3D models, performance evaluation
Research Areas: Data and Informatics, Data Mining, Information Processing Systems, Information Technology, Imaging
PDF version: PDF Document Click here to retrieve PDF version of paper (594KB)