Oriented Hausdorff Similarity Measure for Object Matching

نویسندگان

  • Dong-Gyu Sim
  • Rae-Hong Park
چکیده

This paper proposes an oriented Hausdorff similarity measure for object matching. The oriented Hausdorff distance (HD) measure is introduced by replacing the distance concept of conventional HD algorithms by a similarity measure. The orientation at each ~ i x e l is used for removing incorrect correspondences. Various experiments show that the perFigure 1: Block diagram for the Hausdorff distance formance of the proposed algorithm is better than algorithm that of conventional HD algorithms considered.

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تاریخ انتشار 1998