A comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries
A comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries
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DOI：
10.1016/j.cviu.2014.10.006
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发表时间：
2015-02-01
影响因子：
4.5
通讯作者：
Zou, Changqing
中科院分区：
文献类型：
--
作者：
Li, Bo;Lu, Yijuan;Zou, Changqing
大规模三维形状检索已成为基于内容的三维形状检索的重要研究方向。为了促进这一研究领域的发展，我们在2014年组织了两个形状检索竞赛（SHREC），分别是大规模综合和基于草图的3D模型检索。这两个轨道都基于一个统一的大规模基准，支持多模式查询（3D模型和草图）。该基准包含13680个草图和8987个3D模型，分为171个不同的类。它被编译成现有基准的超集，并对检索方法提出了新的挑战，因为它包括通用模型以及特定领域的模型类型。十二个和六个不同的三维形状检索方法相互竞争，在这两个比赛中，分别。为了衡量和比较参与和其他有前途的查询模型或查询草图三维形状检索方法的性能，并征求国家的最先进的方法，我们进行了更全面的比较26（18个最初参与的算法和8个额外的国家的最先进的或新的）检索方法，通过评估他们的共同基准。基准、结果和评估工具可在我们的网站上公开获取（C）2014 Elsevier Inc. All rights reserved.
Large-scale 3D shape retrieval has become an important research direction in content-based 3D shape retrieval. To promote this research area, two Shape Retrieval Contest (SHREC) tracks on large scale comprehensive and sketch-based 3D model retrieval have been organized by us in 2014. Both tracks were based on a unified large-scale benchmark that supports multimodal queries (3D models and sketches). This benchmark contains 13680 sketches and 8987 3D models, divided into 171 distinct classes. It was compiled to be a superset of existing benchmarks and presents a new challenge to retrieval methods as it comprises generic models as well as domain-specific model types. Twelve and six distinct 3D shape retrieval methods have competed with each other in these two contests, respectively. To measure and compare the performance of the participating and other promising Query-by-Model or Query-by-Sketch 3D shape retrieval methods and to solicit state-of-the-art approaches, we perform a more comprehensive comparison of twenty-six (eighteen originally participating algorithms and eight additional state-of-the-art or new) retrieval methods by evaluating them on the common benchmark. The benchmark, results, and evaluation tools are publicly available at our websites (C) 2014 Elsevier Inc. All rights reserved.