SGLBP：用于点云特征提取的基于子图的局部二进制模式,Computer Graphics Forum

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SGLBP：用于点云特征提取的基于子图的局部二进制模式
Computer Graphics Forum ( IF 2.7 ) Pub Date : 2022-04-02 , DOI: 10.1111/cgf.14500
Bao Guo ₁ , Yuhe Zhang ₁ , Jian Gao ₁ , Chunhui Li ₁ , Yao Hu ₁

Affiliation

提取可以勾勒出点云形状的点是各种应用中点云处理的一项重要任务。点邻域的拓扑信息通常包含足够的特征检测信息，本研究充分考虑了这一点。因此，提出了一种基于拓扑信息提取特征点的新方法。首先，一个改进的 $骨灰盒：x-wiley：01677055：媒体：cgf14500：cgf14500-math-0001$ 引入-shape技术，分别生成潜在特征检测和邻域描述的两个图。然后将局部二进制模式（LBP）应用于子图，从而生成基于子图的局部二进制模式（SGLBP）来编码点邻域的拓扑结构，这有助于从潜在特征点中去除非特征点。该方法可以直接处理原始点云，不需要先验表面重建或几何不变量计算；此外，该方法通过分析点邻域的拓扑结构来检测特征点，从而提高微小特征的有效性以及对噪声和非均匀采样模式的鲁棒性。

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SGLBP: Subgraph-based Local Binary Patterns for Feature Extraction on Point Clouds

Extraction for points that can outline the shape of a point cloud is an important task for point cloud processing in various applications. The topology information of the neighbourhood of a point usually contains sufficient information for detecting features, which is fully considered in this study. Therefore, a novel method for extracting feature points based on the topology information is proposed. First, an improved $urn:x-wiley:01677055:media:cgf14500:cgf14500-math-0001$ -shape technique is introduced, generating two graphs for potential feature detection and neighbourhood description, respectively. Local binary pattern (LBP) is then applied to the subgraphs, thus subgraph-based local binary patterns (SGLBPs) are generated for encoding the topology of the neighbourhoods of points, which helps to remove non-feature points from potential feature points. The proposed method can directly process raw point clouds and needs no prior surface reconstruction or geometric invariants computation; furthermore, the proposed method detects feature points by analysing the topologies of the neighbourhoods of points, consequently promoting the effectiveness for tiny features and the robustness to noises and non-uniformly sampling patterns. The experimental results demonstrate that the proposed method is robust and achieves state-of-the-art performance.

更新日期：2022-04-02

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