June 26, 2024, 4:46 a.m. | /u/PositivePossibility3

Computer Vision www.reddit.com

I've recently completed my engineering thesis, developing a framework that streamlines geocalibration for camera systems, particularly focusing on large-scale deployments.

My approach to geocalibration maps pixels to GPS coordinates through a multi-step homography process:

1. Initial calibration
2. Refinement using dense image alignment and sparse feature matching, filtered by RANSAC
3. Non-linear optimisation to jointly refine camera parameters by minimising reprojection error
4. Computation of geometric parameters like camera pose
5. Establishment of a GPS-to-satellite-image transformation

I believe the real …

alignment calibration computervision deployments engineering feature framework gps homography image linear maps multi multi-object tracking non-linear object optimisation pixels process refine scale systems thesis through tracking

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