Thank you for sharing your Quality Report with us. To learn more about that effect, please have a look at our explanation in the Pix4Dmapper troubleshooter.
This error can indeed be eliminated by marking GCPs in the project. However, this additional source of information isn’t always available. In that case, changing the processing options would be a workaround. In your dataset, the “bowl effect” doesn’t exist or is not visible much (maybe in the rayCloud is more noticeable). Nevertheless, the overlap between images isn’t sufficient; hence, the software couldn’t have computed many matches. Therefore there’re some issues we can improve by applying another processing options which at the same time can fix the “bowl effect” if present. I advise you to process your dataset one more time and include the following changes:
- Initial Processing/General: Image scale: 1/2 (Half image size)
- Initial Processing/Matching: Use Geometrically Verified Matching
- Initial Processing/Calibration: Internal Parameters Optimization: All Prior
Once you have tried this suggestion, then please respond with an update so we can see if the results are accurate ;-)