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IET Cyber-Systems and Robotics
IET Cyber-Systems and Robotics  2020, Vol. 2 Issue (4): 197-204    
    
基于多尺度角度表示和动态标签传播的形状检索
Yanxia Yu ; Danchen Zheng ; Liang Zhao ; Chuang Sun ; Xiang Li ; Yan Zhuang
Shape retrieval by using multi-scale angle-based representation and dynamic label propagation
Yanxia Yu ; Danchen Zheng ; Liang Zhao ; Chuang Sun ; Xiang Li ; Yan Zhuang
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摘要： 为了提高三角形面积表示的鲁棒性和识别能力，本文提出了一种基于多尺度角度表示的新型形状匹配方法。该方法通过分析每个形状轮廓上不同样本点的构型，利用不同层次上的空间角来构造形状描述子。该形状表示方法有效地描述了形状轮廓的多尺度信息。在特征匹配步骤中，本文进一步利用动态规划来确定不同形状样本之间的对应关系和形状距离。此外，为了改进基于成对形状距离的形状检索结果，本文引入了动态标签传播作为后处理步骤。不同于以往的距离学习方法隐式地学习数据库流形，本文提出的方法能够显式地由近及远检索最短路径上的相关对象，并且能够有效地捕捉底层结构。多个形状数据库上的测试表明，该方法的性能优于很多其他方法，能够应用于物联网中的视觉数据处理和理解。 ?
Abstract: To improve the robustness and discrimination power of the triangle-area representation, a novel shape matching method based on multi-scale angle representation is proposed in this study. By analysing the configurations of different sample points from each shape contour, shape descriptors are constructed by using space angles at different scale levels. With the proposed shape representation, the multi-scale information of shape contours is efficiently described, and the dynamic programming is further used to determine the correspondence between samples from different shapes and calculate the shape distance in the feature matching step. Moreover, to improve the shape retrieval results based on pairwise shape distances, the dynamic label propagation is introduced as the post-processing step. Unlike previous distance learning methods learning the database manifold implicitly, the authors method retrieves relative objects on the shortest paths from near to far explicitly, and the underlying structure can be effectively captured. The proposed method tested on different shape databases provides the performances superior to many other methods, and it can be applied to visual data processing and understanding of the internet of things.
出版日期: 2021-04-14
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Yanxia Yu
Danchen Zheng
Liang Zhao
Chuang Sun
Xiang Li
Yan Zhuang

引用本文:

Yanxia Yu, Danchen Zheng, Liang Zhao, Chuang Sun, Xiang Li, Yan Zhuang. Shape retrieval by using multi-scale angle-based representation and dynamic label propagation. IET Cyber-Systems and Robotics, 2020, 2(4): 197-204.

链接本文:

http://www.zjujournals.com/iet-csr/CN/    或    http://www.zjujournals.com/iet-csr/CN/Y2020/V2/I4/197

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