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Problem: I tried to do point cloud stiching using several depth images (depth planner). However, the result showed there may be some synchronization issues for scene image and depth image.
result for 1080P
result for QVGA
Clearly, you can see some dragging effect.
Scene and depth images were recorded with "Recording" function. I did tranformation like
$$$
P_ground = RP_camera + t
$$$
where R is constructed using quaternion.
Can anyone give some ideas about the problem?
Thanks
The text was updated successfully, but these errors were encountered:
confirm again using sfm software.
2 tests with same setting, same image, the only difference are:
let pose being camera pose logged with Airsim recording. Since those poses should be ground truth, I made uncertainty of those poses to be very low, 1mm.
don't use any prior pose, just let SFM do automatic feature matching to determine the camera poses.
Result:
2 is better than 1, more points, less artefacts.
My guess right now would be:
At least for the recording, it seems that pose and image are not exactly aligned. And this problem becomes severe if the resolution of the image increases, let's say from VGA to 4K, the delay will increase.
Could anyone provide some information about this alignment issue?
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Version: 1.2.0 Binary
Coding: Python
Problem: I tried to do point cloud stiching using several depth images (depth planner). However, the result showed there may be some synchronization issues for scene image and depth image.


result for 1080P
result for QVGA
Clearly, you can see some dragging effect.
Scene and depth images were recorded with "Recording" function. I did tranformation like
$$$
P_ground = RP_camera + t
$$$
where R is constructed using quaternion.
Can anyone give some ideas about the problem?
Thanks
The text was updated successfully, but these errors were encountered: