.png){kind=icon}
返回
Shape-based object matching using interesting points and high-order graphs
.png){kind=icon}
PRE
AI
DOI：10.1016/j.patrec.2016.03.013.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In shape-based object matching, it is important how to fuse similarities between points on a shape contour and the ones on another contour into the overall similarity. However, existing methods face two critical problems. Firstly, since most contour points are involved for possible matchings without taking into account the usefulness of each point, it causes high computational costs for point matching. Secondly, existing methods do not consider geometrical relations characterised by multiple points. In this paper, we propose a shape-based object matching method which is able to overcome these problems. To counteract the first problem mentioned, we devise a shape descriptor using a small number of interesting points which are generated by considering both curvatures and the overall shape trend. We also introduce a simple and highly discriminative point descriptor, namely Point Context, which represents the geometrical and topological location of each interesting point. For the second problem, we employ high-order graph matching which examines similarities for singleton, pairwise and triple relations of points. We validate the robustness and accuracy of our method through a series of experiments on six datasets. (C) 2016 Elsevier B.V. All rights reserved.
Keyword:
Shape matching
High-order graph matching
Point context
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.3
论文数:
8.0K
被引数:
1.6W
机构
引用论文
Differentiation of vegetation zones and species strategies in the subalpine region of Mt. Fuji.png)
Vegetatio
VegetatioIF0
PREAI
分享收藏Hydrothermal preparation and low temperature magnetic properties of TbOOH, DyOOH, HoOOH, ErOOH, and YbOOHTbOOH，DyOOH，HoOOH，ErOOH和YbOOH的水热制备和低温磁性
PREAI
分享收藏
查看更多内容