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形状匹配方法研究与展望

周瑜 刘俊涛 白翔

周瑜, 刘俊涛, 白翔. 形状匹配方法研究与展望. 自动化学报, 2012, 38(6): 889-910. doi: 10.3724/SP.J.1004.2012.00889
引用本文: 周瑜, 刘俊涛, 白翔. 形状匹配方法研究与展望. 自动化学报, 2012, 38(6): 889-910. doi: 10.3724/SP.J.1004.2012.00889
ZHOU Yu, LIU Jun-Tao, BAI Xiang. Research and Perspective on Shape Matching. ACTA AUTOMATICA SINICA, 2012, 38(6): 889-910. doi: 10.3724/SP.J.1004.2012.00889
Citation: ZHOU Yu, LIU Jun-Tao, BAI Xiang. Research and Perspective on Shape Matching. ACTA AUTOMATICA SINICA, 2012, 38(6): 889-910. doi: 10.3724/SP.J.1004.2012.00889

形状匹配方法研究与展望

doi: 10.3724/SP.J.1004.2012.00889
详细信息
    通讯作者:

    刘俊涛,军械工程学院计算机工程系讲师.现为华中科技大学电信系博士研究生.主要研究方向为计算机视觉,计算机图形学和模式识别.E-mail: ropobox@21cn.com

Research and Perspective on Shape Matching

  • 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.
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  • 收稿日期:  2011-11-19
  • 修回日期:  2012-02-10
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