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形状匹配方法研究与展望
引用本文:周瑜,刘俊涛,白翔.形状匹配方法研究与展望[J].自动化学报,2012,38(6):889-910.
作者姓名:周瑜  刘俊涛  白翔
作者单位:1.华中科技大学电子与信息工程系 武汉 430074;
基金项目:国家自然科学基金(60873127,60903096);河北省自然科学基金资助项目(F2009001435)资助~~
摘    要:形状匹配及分类是计算机视觉中的重要问题. 近年来,以形状上下文为代表的基于轮廓的形状匹配方法和以奇点图为代表的基于骨架的形状匹配方法获得了长足的发展. 本文介绍了形状匹配问题的基本概念, 分析了形状匹配问题的难点, 按照基于轮廓和基于骨架的分类方法对近年来最新出现的形状表示与形状匹配的方法进行了详尽的介绍, 并介绍了基于度量学习的形状检索方法, 本文还详细介绍了近年来形状匹配研究领域常用的一些测试数据库, 之后对局部形状匹配和形状分类等有潜力的研究方向进行了展望. 最后对形状匹配的整体框架及其应用前景进行了总结.

关 键 词:形状表示    形状匹配    形状分类    轮廓    骨架
收稿时间:2011-11-19
修稿时间:2012-2-10

Research and Perspective on Shape Matching
ZHOU Yu,LIU Jun-Tao,BAI Xiang.Research and Perspective on Shape Matching[J].Acta Automatica Sinica,2012,38(6):889-910.
Authors:ZHOU Yu  LIU Jun-Tao  BAI Xiang
Affiliation:1.Department of Electronics and Information Engineering, Huazhong University of Science and Technology, Wuhan 430074;2.Department of Computer Engineering, Mechanical Engineering Institute, Shijiazhuang 050003
Abstract:Shape matching and classification are important issues in computer vision. In recent years, contour-based shape matching approaches (e.g., shape context) and skeleton-based shape matching methods (e.g., shock graph) both have a lot of developments. In this paper, we introduce the basic concept of shape matching, give the difficulties of this topic, and provide a detailed review on the most recent approaches about shape representation and matching for both contour-based and skeleton-based methods. We also give a brief introduction about metric learning based shape retrieval. Moreover, we introduce some widely used benchmarks for shape matching in details, along with some hot topics including partial shape matching, shape classification, etc. Finally, this paper concludes with the whole framework of shape matching and the application perspective of this topic.
Keywords:Shape representation  shape matching  shape classification  contour  skeleton
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