Range Scans based 3D Shape Retrieval
Range Scans based 3D Shape Retrieval
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DOI：
10.2312/3dor.20151069
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发表时间：
2015-05
期刊：
影响因子：
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通讯作者：
A. Godil;H. Dutagaci;B. Bustos;S. Choi;S. Dong;T. Furuya;H. Li;Norman Link;A. Moriyama;R. Meruane;Ryutarou Ohbuchi;D. Paulus;Tobias Schreck;Viktor Seib;I. Sipiran;Hu Yin;C. Zhang
中科院分区：
文献类型：
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作者：
A. Godil;H. Dutagaci;B. Bustos;S. Choi;S. Dong;T. Furuya;H. Li;Norman Link;A. Moriyama;R. Meruane;Ryutarou Ohbuchi;D. Paulus;Tobias Schreck;Viktor Seib;I. Sipiran;Hu Yin;C. Zhang
SHREC‘15基于距离扫描的3D形状检索跟踪的目标是评估匹配真实对象的距离扫描以在目标数据集中完成3D网格模型的算法。任务是在给定查询对象的范围扫描的情况下检索属于相同类别的完整3D模型的等级列表。这种能力对于许多计算机视觉系统来说是必不可少的，这些系统涉及基于深度信息对环境中的对象进行识别和分类。在该跟踪中，目标数据集由1200个3D网格模型组成，并且查询集具有60个物理对象的180个范围扫描。六个研究小组参加了比赛，总共有16个不同的跑步项目。本文介绍了赛道数据集、参赛者的方法和比赛结果。
The objective of the SHREC'15 Range Scans based 3D Shape Retrieval track is to evaluate algorithms that match range scans of real objects to complete 3D mesh models in a target dataset. The task is to retrieve a rank list of complete 3D models that are of the same category given the range scan of a query object. This capability is essential to many computer vision systems that involves recognition and classification of objects in the environment based on depth information. In this track, the target dataset consists of 1200 3D mesh models and the query set has 180 range scans of 60 physical objects. Six research groups participated in the contest with a total of 16 different runs. This paper presents the track datasets, participants' methods and the results of the contest.