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OALib Journal期刊
ISSN: 2333-9721
费用：99美元
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基于Hough谱的任意形状表示与配准
DOI: 10.11834/jig.20100508
Keywords: 形状表示,形状配准,加权平均Hough谱
Abstract:
提出了基于Hough谱的形状表示与配准方法，定义了一种新颖的加权平均Hough谱来表示任意形状，总结并证明了形状Hough谱所具有的平移、旋转、缩放和周期特性。对任意两个形状进行配准时，可在相应Hough谱中估计出形状的旋转与缩放参数，并在相应Hough密度空间中估计形状平移参数。本文方法在SIID形状集上进行了大量的实验，结果表明，加权平均Hough谱能有效地估计形状间的平移、旋转与缩放参数，对噪声、遮挡等具有一定的鲁棒性，具有较高的配准精度。
| [1] | Aguado A S,Montiel E,Nixon M S,Invariant characterization of the Hough transform for pose estimation of arbitrary shapes,Pattern Recognition,2002(5).
|
| [2] | Sharp G C,Lee S W,Wehe D K,ICP registration using invariant features,IEEE Transactions on Pattern Analysis and Machine Intelligence,2002(1).
|
| [3] | Censi A,Iocchi L,Grisetti G,Scan matching in the Hough domain,New York:USA:IEEE,2005.
|
| [4] | Zitova B,Flusser J,Image registration methods:A survey,Image and Vision Computing,2003(11).
|
| [5] | Lingermann K,Surmann H,N(a)ucher A,Indoor and outdoor localization for fast mobile robots,Piscataway,NJ,USA:IEEE,2004.
|
| [6] | Chunhavittayatera S,Chitsobhuk O,Tongprasert K,Image registration using Hough transform and phase correlation,New York:USA:IEEE,2006.
|
| [7] | Cooper D Shape Indexing of Image Databases 2008
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