对于球体组件聚合模型的几何意识点云集群
Yuta Muramatsu1, Syuhei Sato2,3, Kaisei Sakurai4
1Faculty of Computer and Information Sciences, Hosei University, Tokyo, 184-8584, Japan.
Scientific reports
|December 20, 2025
概括
本研究提出了一种新的方法,用于从聚合点云中细分单个组件,假设球形状. 这种方法成功地将葡萄等物品隔离和建模,克服了传统形状重建的局限性.
科学领域:
- 计算机视觉 计算机视觉
- 几何建模 几何建模
- 3D重建的3D重建
背景情况:
- 聚合物体 (例如,葡萄束) 对于传统的3D重建构成挑战,原因是组件封闭和缺失的数据.
- 现有的方法往往产生一个整体的形状,未能区分一个聚合物中的单个组件.
研究的目的:
- 开发一种方法,从聚合点云中获得单个组件的独立网格模型.
- 为解决对集群对象当前形状重建技术的局限性.
主要方法:
- 拟议的方法假设单个组件可以近似为球体.
- 它采用几何意识的集群来识别和细分组件.
- 确定最佳组件位置和尺寸,并将重叠检测合并.
主要成果:
- 从各种聚合物类型中成功分割单个组件.
- 从封闭和不完整的点云数据中恢复明显的形状的证明有效性.
- 为每个组件生成独立的网格模型.
结论:
- 球形近似和几何意识的集群提供了一个有效的解决方案,可以在聚合物中建模单个组件.
- 这种方法提升了对集群对象的3D重建能力.
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