Extraction of Interest Points on 3D Meshes Based on Bilateral Filtering

Han Guo, Xiangyu Kong, Dongmei Niu, Xiuyang Zhao
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Abstract

Interest points are significant to 3D matching, recognition and 3D retrieval. We use bilateral filtering to extract 3D interest points. Differing from prior work, a novel approach is proposed to select the local neighborhood which is named trust area. And we also use multi-scale DoG to compute the saliency of the vertices. The interest points are extracted by saliency.
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基于双边滤波的三维网格兴趣点提取
兴趣点对三维匹配、识别和三维检索具有重要意义。我们使用双边滤波来提取3D兴趣点。与以往的研究不同,本文提出了一种新的方法来选择局部邻域,即信任区域。我们还使用多尺度DoG来计算顶点的显著性。通过显著性提取兴趣点。
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