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The 2D shape structure dataset: A user annotated open access database

机译:2D形状结构数据集:用户注释的开放访问数据库

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摘要

In this paper we present the 2D Shape Structure database, a public, user-generated dataset of 2D shape decompositions into a hierarchy of shape parts with geometric relationships retained. It is the outcome of a large-scale user study obtained by crowdsourcing, involving over 1200 shapes in 70 shape classes, and 2861 participants. A total of 41,953 annotations has been collected with at least 24 annotations per shape. For each shape, user decompositions into main shape, one or more levels of parts, and a level of details are available. This database reinforces a philosophy that understanding shape structure as a whole, rather than in the separated categories of parts decomposition, parts hierarchy, and analysis of relationships between parts, is crucial for full shape understanding. We provide initial statistical explorations of the data to determine representative ("mean") shape annotations and to determine the number of modes in the annotations. The primary goal of the paper is to make this rich and complex database openly available (through the website http://2dshapesstructure.github.io/index.html), providing the shape community with a ground truth of human perception of holistic shape structure. (C) 2016 Elsevier Ltd. All rights reserved.
机译:在本文中,我们介绍了2D形状结构数据库,这是一个公共的,用户生成的2D形状分解数据集,保留有几何关系的形状零件层次结构。它是通过众包获得的大规模用户研究的结果,涉及70个形状类别中的1200多个形状以及2861名参与者。总共收集了41,953个注释,每个形状至少包含24个注释。对于每种形状,用户可以分解为主要形状,一个或多个级别的零件以及一个级别的细节。该数据库强化了这样一种理念:对于整体形状的理解,理解整体形状结构而不是零件分解,零件层次结构和零件之间关系分析的单独类别至关重要。我们提供对数据的初步统计探索,以确定代表性(“均值”)形状注释并确定注释中的模式数量。本文的主要目标是(通过网站http://2dshapesstructure.github.io/index.html)公开提供这个丰富而复杂的数据库,从而为形状社区提供人类感知整体形状结构的基本事实。 (C)2016 Elsevier Ltd.保留所有权利。

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