基于双边滤波的三维网格兴趣点提取

2017 International Conference on Virtual Reality and Visualization (ICVRV) Pub Date : 2017-10-01 DOI:10.1109/ICVRV.2017.00102

Han Guo, Xiangyu Kong, Dongmei Niu, Xiuyang Zhao

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引用次数: 0

摘要

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。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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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2017 International Conference on Virtual Reality and Visualization (ICVRV)

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