Normal Grouping Density Separation (NGDS): A Novel Object-Driven Indoor Point Cloud Partition Method

Pages: 100 - 114
Published: Jun 3, 2020
Abstract
Precise segmentation/partition is an essential part of many point cloud processing strategies. In the state-of-the-art methods, either the number of clusters or expected supervoxel resolution needs to be carefully selected before segmentation. This makes these processes semi-supervised. The proposed Normal Grouping- Density Separation (NGDS) strategy, relying on both grouping normal vectors into cardinal directions and density-based separation,...
Paper Details
Title
Normal Grouping Density Separation (NGDS): A Novel Object-Driven Indoor Point Cloud Partition Method
Published Date
Jun 3, 2020
Pages
100 - 114
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