| Project/Area Number |
16K16100
|
|---|
| Research Category |
Grant-in-Aid for Young Scientists (B)
|
| Allocation Type | Multi-year Fund |
|---|
| Research Field |
Human interface and interaction
|
|---|
| Research Institution | Osaka University |
|---|
Principal Investigator |
Mashita Tomohiro 大阪大学, サイバーメディアセンター, 准教授 (00467606)
|
|---|
| Research Collaborator |
Plopski Alexander
Höllerer Tobias
|
|---|
| Project Period (FY) |
2016-04-01 – 2018-03-31
|
| Project Status |
Completed (Fiscal Year 2017)
|
| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2017: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2016: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
|
|---|
| Keywords | カメラ位置姿勢推定 / カメラ自己位置姿勢推定 / 拡張現実 / 深層学習 / カメラ位置推定 / コンピュータビジョン / パターン認識 / 機械学習 |
|---|
| Outline of Final Research Achievements |
Camera localization methods, which is used in augmented reality and robotics, decreases its accuracy due to variations of lighting environment. To obtain robustness for lighting variations, we utilized a lighting environment simulation based on computer graphics and applied the data generated by the simulation to machine learning. By this approach, we developed a camera localization method which is robust for variations of lighting environment.
|
