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  • 标题:Image Registration Using Advanced Topology Preserving Relaxation Labeling
  • 本地全文:下载
  • 作者:Chan-IL Kim ; Ji-Ae Park ; Su Yang
  • 期刊名称:Computer Science & Information Technology
  • 电子版ISSN:2231-5403
  • 出版年度:2016
  • 卷号:6
  • 期号:8
  • 页码:31-42
  • DOI:10.5121/csit.2016.60804
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:This paper presents a relaxation labeling technique with newly defined compatibility measuresfor solving a general non-rigid point matching problem. In the literature, there exists a pointmatching method using relaxation labeling, however, the compatibility coefficients always takea binary value zero or one depending on whether a point and a neighboring point havecorresponding points. Our approach generalizes this relaxation labeling approach. Thecompatibility coefficients take n-discrete values which measures the correlation between edges.We use log-polar diagram to compute correlations. Through simulations, we show that thistopology preserving relaxation method improves the matching performance significantlycompared to other state-of-the-art algorithms such as shape context, thin plate spline-robustpoint matching, robust point matching by preserving local neighborhood structures andcoherent point drift.
  • 关键词:Point pattern matching; graph matching; registration; relaxation labelling
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