Name
Abstract | ||
|---|---|---|
It is well known that the rolling shutter effect in images captured with a moving rolling shutter camera causes inaccuracies to 3D reconstructions. The problem is further aggravated with weak visual connectivity from wide baseline images captured with a fast moving camera. In this paper, we propose and implement a pipeline for sparse to dense 3D construction with wide baseline images captured from a fast moving rolling shutter camera. Specifically, we propose a cost function for Bundle Adjustment (BA) that models the rolling shutter effect, incorporates GPS/INS readings, and enforces pairwise smoothness between neighboring poses. We optimize over the 3D structures, camera poses and velocities. We also introduce a novel interpolation scheme for the rolling shutter plane sweep stereo algorithm that allows us to achieve a 7x speed up in the depth map computations for dense reconstruction without losing accuracy. We evaluate our proposed pipeline over a 2.6km image sequence captured with a rolling shutter camera mounted on a moving car. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/CVPR.2016.363 | 2016 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) |
Field | DocType | Volume |
Rolling shutter,Computer vision,Computer graphics (images),Computer science,Bundle adjustment,Interpolation,Global Positioning System,Artificial intelligence,Depth map,Speedup,3D reconstruction,Computation | Conference | 2016 |
Issue | ISSN | Citations |
1 | 1063-6919 | 2 |
PageRank | References | Authors |
0.37 | 15 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Olivier Saurer | 1 | 98 | 5.32 |
| Marc Pollefeys | 2 | 7671 | 475.90 |
| Lee Gim Hee | 3 | 372 | 31.21 |