High quality point cloud generation of large-scale environments using various 3D scanners
| 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)
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
金井 理 北海道大学, 情報科学研究科, 教授 (90194878)
|
|---|
| Project Period (FY) |
2014-04-01 – 2017-03-31
|
| Project Status |
Completed (Fiscal Year 2016)
|
| Budget Amount *help |
¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2016: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2014: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
|
|---|
| 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 / レーザ計測点群 / SfMメッシュ / 最適計測位置推定 / 領域抽出 / 特徴抽出 / 3次元計測 / レジストレーション / 最適計測 / 特徴量 / 大規模環境 |
|---|
| 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.
|
Report
(4 results)
Research Products
(30 results)
