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Camera Calibration / Wrong camera orientation after photo alignment
« on: December 07, 2023, 10:18:14 PM »
Dear Metashape developers and users,
I am working on a project on the rainforest canopy in Peru. We used a DJI L1 drone to capture both LiDAR points and optical images always looking vertically down.
During the flights, we had a ground RTK station, and I used it to do PPK correction using RedToolBox. The EXIF of each image was rewritten during the process so the Metashape can read the corrected camera information directly (I checked the option in the advanced setting).
After photo alignment, I found some of the images (135 out of 1295) could not be registered (Fig. 1). To figure out the issue, I checked the unaligned images alone by deleting the aligned images and redoing the photo-alignment process. What I saw is that their camera orientation is surprisingly wrong (Fig. 2), even though their metadata looks no problem as the angle of pitch and roll is 0 or near 0 (indicating looking to the ground) (Fig. 3).
Does someone know what happened and how to solve this? Thanks!
I am working on a project on the rainforest canopy in Peru. We used a DJI L1 drone to capture both LiDAR points and optical images always looking vertically down.
During the flights, we had a ground RTK station, and I used it to do PPK correction using RedToolBox. The EXIF of each image was rewritten during the process so the Metashape can read the corrected camera information directly (I checked the option in the advanced setting).
After photo alignment, I found some of the images (135 out of 1295) could not be registered (Fig. 1). To figure out the issue, I checked the unaligned images alone by deleting the aligned images and redoing the photo-alignment process. What I saw is that their camera orientation is surprisingly wrong (Fig. 2), even though their metadata looks no problem as the angle of pitch and roll is 0 or near 0 (indicating looking to the ground) (Fig. 3).
Does someone know what happened and how to solve this? Thanks!
