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RPBS: Rotational Projected Binary Structure for Point Cloud Representation

机译：RPBS：点云表示的旋转预定的二元结构

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摘要

In this paper, we proposed a novel three-dimension local surface descriptor named RPBS for point cloud representation. First, points cropped form the query point within a predefined radius is regard as a local surface patch. Then pose normalization is done to the local surface to equip our descriptor with the invariance to rotation transformation. To obtain more information about the cropped surface, multi-view representation is formed by successively rotating it along the coordinate axis. Further, orthogonal projections to the three coordinate plane are adopted to construct two-dimension distribution matrixes, and binarization is applied to each matrix by following the rule that whether the grid is occupied, if yes, set the grid one, otherwise zero. We calculate the binary maps from all the viewpoints and concatenate them together as the final descriptor. Comparative experiments for evaluating our proposed descriptor is conducted on the standard dataset named Bologna with several state-of-the-art 3D descriptors, and results show that our descriptor achieves the best performance on feature matching experiments.
机译：在本文中，我们提出了点云表示一种新型三维命名RPBS局部表面描述符。首先，分裁剪形成预定半径内的查询点是关于作为局部表面补丁。然后，姿势正常化做是为了局部表面来装备我们的描述与不变性旋转变换。以获得关于所述裁剪面的更多信息，多视图表示通过连续地旋转它沿坐标轴形成。此外，正交投影于三个坐标平面采用构建二维分布矩阵，和二值化，通过以下的规则应用于每个矩阵，网格是否被占用，如果是，设置网格之一，否则为零。我们计算所有的观点二进制地图，一起将它们连接起来作为最终描述。评估我们所提出的描述比较实验是在一个名为博洛尼亚与国家的最先进的不少3D描述的标准数据集进行，结果表明，我们的描述符实现特征匹配实验的最佳性能。

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