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Discriminative outlines parts for shape retrieval

机译：区分轮廓的零件用于形状检索

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摘要

In this paper we propose a new method for shape retrieval using only discriminative parts which are sufficient for the recognition of many objects and their classes. The discriminative outline shape is firstly determined by performing psycho-visual tests and then described with geometric attributes of high curvature points located along the outline. This obtained description is invariant to scale change, rotation, mirroring and deformation. To study the performance of our approach, global approach which deals with the whole contour and partial approach which is based on the discriminative part are compared. Experiments conducted on our data set and a selection of MPEG-7 dataset demonstrated the usefulness of this approach and the results obtained are presented and discussed. (C) 2015 Elsevier Inc. All rights reserved.
机译：在本文中，我们提出了一种仅使用能够识别许多对象及其类的识别部分的形状检索新方法。区分轮廓的形状首先通过进行心理视觉测试确定，然后使用沿着轮廓的高曲率点的几何属性进行描述。所获得的描述对于尺度变化，旋转，镜像和变形是不变的。为了研究我们方法的性能，比较了处理整体轮廓的全局方法和基于判别部分的局部方法。在我们的数据集上进行的实验和选择的MPEG-7数据集证明了这种方法的有效性，并介绍和讨论了获得的结果。 （C）2015 Elsevier Inc.保留所有权利。

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