SHREC’14 Track: Retrieval and classification on Textured 3D Models

Published

June 12, 2014

Author(s)

Afzal A. Godil

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.

Proceedings Title

The Seventh Eurographics Workshop on 3D Object Retrieval (3DOR 2014) .

Conference Dates

April 6, 2014

Conference Location

Strasbourg

Conference Title

Co-event of the 35rd Annual Conference of the European Association for Computer Graphics (Eurographics 2014).

Pub Type

Conferences

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Keywords

3D shape retrieval algorithms, textured 3D models, performance evaluation

Citation

Godil, A. (2014), SHREC’14 Track: Retrieval and classification on Textured 3D Models, The Seventh Eurographics Workshop on 3D Object Retrieval (3DOR 2014) ., Strasbourg, -1, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=915675 (Accessed October 13, 2025)