Name
Abstract | ||
|---|---|---|
This paper presents a novel virtual-real registration approach for augmented reality (AR) in large-scale outdoor environments. Essentially, it is a pose estimation for the mobile camera images (ground camera images) in 3D model recovered by Unmanned Aerial Vehicle (UAV) image sequence via Structure-From-Motion (SIM) technology. The approach considers to indirectly establish the spatial relationship between 2D and 3D space by inferring the transformation relationship between the ground camera images and the UAV 3D model rendered images. Specifically, the proposed approach can overcome the positioning errors, which are deterioration and drift in the GPS. and deviation of orientation. The experimental results demonstrate the possibility of the proposed virtual-real registration approach, and show that the approach is robust. efficient and intuitive for AR in large-scale outdoor environments. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/VR.2019.8797821 | 2019 26TH IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES (VR) |
Keywords | Field | DocType |
Virtual-real registration, outdoor AR, cross-domain image matching | Computer vision,Mobile camera,Visualization,Computer science,Spatial relationship,Augmented reality,Pose,Human-centered computing,Global Positioning System,Artificial intelligence,Creative visualization | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weiquan Liu | 1 | 0 | 2.37 |
| Cheng Wang | 2 | 218 | 32.63 |
| Yu Zang | 3 | 74 | 9.22 |
| Shang-Hong Lai | 4 | 1169 | 124.03 |
| Dongdong Weng | 5 | 29 | 19.16 |
| Xuesheng Sian | 6 | 0 | 0.34 |
| Xiuhong Lin | 7 | 3 | 3.81 |
| Xuelun Shen | 8 | 0 | 1.35 |
| Jonathan Li | 9 | 798 | 119.18 |