High quality point cloud generation of large-scale environments using various 3D scanners

2016 Fiscal Year Final Research Report

• Project/Area Number: 26420073
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Design engineering/Machine functional elements/Tribology
• Research Institution: Hokkaido University
• Principal Investigator: Date Hiroaki 北海道大学, 情報科学研究科, 准教授 (20374605)
• Project Period (FY): 2014-04-01 – 2017-03-31
• Keywords: レーザ計測 / 点群 / Structure from Motion / メッシュ / 位置合せ / 最適計測方式

Outline of Final Research Achievements

In this research, some methods for combining several 3D scan data from various 3D scanning systems and optimized scanning in order to obtain high quality 3D scan data of large-scale environments and structures. For combining several 3D scan data, efficient automatic registration methods for 3D scan data acquired from terrestrial laser scanner, mobile laser scanner, handy scanner, and structure from motion are developed. For optimized scanning, methods to estimate best laser-scanner positions which allow us to acquire high quality point clouds with a smaller number of scanning, considering scanning importance of the objects and laser-scanning properties, are developed.

Free Research Field

形状処理工学