Comments (2)
Hi Deb, I'm travelling at the moment and can only comment quickly. The error behavior you report is somewhat expected. The larger the distance is between the camera and the scene, you will observe large positional errors even if the rotation is just a bit off. Imagine your scene is kilometres away. If you step one meter to the side, the observed image will not have changed at all (small parallax).
The depth prior for indoor usually affects the stability of the method more than the accuracy. E.g. a unsuitable depth prior can lead to the network collapsing and you would get no reasonable results at all. If you get good results, than leave the prior as it is. If not, play around with the prior.
I will push to finish the DSAC* code when I'm back, but this is only in August. So expect it online end of August.
Best,
Eric
from lessmore.
Dear Eric,
That was helpful, much appreciated. Looking forward to seeing your code. Travel safe.
Regards,
Deb
from lessmore.
Related Issues (20)
- How many time did you spend on testing? HOT 1
- How many time did you spend on testing? HOT 1
- Camera calibration matrix of Cambridge landmark HOT 2
- Mapping Depth to RGB & Pose Correction HOT 3
- Scene Pose vs Camera Pose HOT 1
- Training Time issue HOT 1
- projectPoints vs project HOT 2
- Calculate target scene coordinates using 3D model HOT 1
- is there any way to improve accuracy HOT 1
- is there any way to improve accuracy HOT 1
- --
- Why i can't get the Graduated Colors by using convertForDisplay function in util.cpp? HOT 3
- testing results HOT 5
- questions about utilizing a scene coordiante heuristic based on a constant depth assumption HOT 4
- The intrinsic paramters of Cambridge dataset HOT 1
- missing files in the dataset HOT 1
- Is there a way to produce the predicted camera poses instead of test evaluation? HOT 1
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from lessmore.