Development of a virtual 3D scanner for data augmentation in point cloud shape recognition

点群の形状認識を目的としたデータ拡張のための仮想スキャナの開発

高橋 弘毅*; 加藤 徹*; 山下 圏*; 土井 章男*; 今渕 貴志  

Takahashi, Hiroki*; Kato, Toru*; Yamashita, Meguru*; Doi, Akio*; Imabuchi, Takashi

When performing shape recognition using machine learning from point cloud data, data expansion can be expected to improve accuracy. In this research, we developed a virtual 3D scanner, VCC (Virtual Cloud Creator), that automatically generates data with a distribution close to actual measurement from large-scale point clouds. VCC can generate labeled point cloud data with an appropriate point cloud density from any viewpoint using 3D measured point cloud data and CAD data created from the point cloud data. It was confirmed that shape recognition accuracy was improved by using the augmented data generated by VCC for learning.