Retrieval and classification methods for textured 3D models: a comparative study
Retrieval and classification methods for textured 3D models: a comparative study
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DOI：
10.1007/s00371-015-1146-3
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发表时间：
2016-02-01
期刊：
影响因子：
3.5
通讯作者：
Velasco-Forero, S.
中科院分区：
文献类型：
--
作者：
Biasotti, S.;Cerri, A.;Velasco-Forero, S.
本文对纹理 3D 模型的检索和分类的六种方法进行了比较研究，这些方法被选为现有技术的代表。为了更好地分析和控制方法如何处理特定类别的几何和纹理变形，我们构建了 572 个合成纹理网格模型的集合，其中每个类别都包含一小组空模型的多个纹理和几何修改。结果展示了一个具有挑战性但又生动的场景，并且还揭示了如何根据不同方法处理纹理信息的有趣见解，可能在 CIELab 以及 RGB 颜色空间的修改中发挥作用。
This paper presents a comparative study of six methods for the retrieval and classification of textured 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 into 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.