Comments (4)
Sorry, the test data is not publicly available. But if you have such a camera-rig, you may shoot a video with it in high-frame-rate mode (120fps or higher). You may synchronize them with some tricks, e.g. use a flashlight to pick a start frame and extract all the images from videos of all cameras.
from infrascal.
thanks for your reply.
i tried use the kitti dataset to reconstrut the 3d map by colmap, using the two gray camera front view.
but it seems error,i don't exactly know whats wrong.
so , when you reconstrut the 3d map,are the following conditions necessary?
or other constraint condition? would you give some advice?
- camere ins parameter
- loopcloser
- ...
from infrascal.
I haven't try the kitti datasets. For 3d reconstruction, I don't necessarily make any constraints. You may try RobotSeason datasets as shown in the paper, which already provide the map in colmap format.
from infrascal.
thank you very much, i try it later,thanks.
great work
from infrascal.
Related Issues (18)
- [Build failed] OPENCV_XFEATURES2D_NONFREE NOT PRESENT HOT 2
- Using Radial and Fisheye Camera Calibration HOT 3
- about the solvePnPRadialRansac funciton HOT 1
- what is "Rig Poses" mean? HOT 1
- Run calib without map folder HOT 6
- [Table1.] Evaluation with a scale HOT 2
- Question about result file. HOT 4
- Docker image HOT 4
- How to work by using the results of Camodocal? HOT 4
- How to use the RobotCar datasets for evaluation as chapter 5.5 in the paper HOT 7
- Result Visualization HOT 1
- Why do you need 3d coordinate values that match the SIFT feature points? this is hard to get in practice. HOT 2
- How to get the map at the required format? HOT 1
- Average radial reprojection error over all frames: -nan px HOT 4
- Reproducing map with demo data for InfrasCal HOT 5
- Error: Linear Solver Failure HOT 4
- Extrinsic Parameter Reference HOT 2
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