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

Published

Author(s)

Afzal A. Godil

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 represen- tative of the state of the start and evaluated through 17 runs. To better analyse and control how these meth- ods deal with specific classes of geometric and texture deformations, we built a collection of 572 synthetic tex- tured mesh models, in which each class includes multi- ple texture and geometric modifications of a small set of null models. The results show a challenging, yet lively, scenario and also reveal interesting insights in how to deal with texture information according to different ap- proaches, possibly working in the CIELab as well as in modifications of the RGB colour space.
Citation
International Journal of Computer Vision

Keywords

Shape retrieval , Shape classification , textured 3D models

Citation

Godil, A. (2015), Retrieval and classification methods for textured 3D models: A comparative study, International Journal of Computer Vision, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=917596 (Accessed February 27, 2024)
Created August 25, 2015, Updated February 19, 2017