Beam adjustment method and system for joint parallax angle parameterization of camera and object point
By uniformly expressing the camera pose, the position of the camera center and the 3D connection point in the angle parameter space, the problem of unstable solution in bundle adjustment under small parallax and weak control conditions is solved, and more stable solution of the coordinates of the camera center and the 3D connection point is achieved.
Patent Information
- Application Number
- CN202610163802.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-02-05
- Publication Date
- 2026-05-29
AI Technical Summary
In aerospace photogrammetry, existing bundle adjustment methods suffer from slow iterative convergence, limited steady-state improvement, and even divergence under conditions of small parallax and weak control. In particular, the inconsistent variable scales between the photo center and the 3D connection points cause the condition number of the normal equations to be dominated by the sub-blocks related to the photo center, affecting the stability of the solution.
A bundle adjustment method with joint parallax angle parameterization of camera and object points is adopted. Under the constraint of two prior anchor baselines, the camera attitude, the position of the photography center and the position of the three-dimensional connection point are uniformly incorporated into the angle parameter space. The bundle adjustment is used to perform joint iterative optimization and solve the problem, and the collinear observation equation is constructed to improve the solution stability.
Under conditions of small parallax and weak control, the solution stability and accuracy of the coordinates of the photo center and the coordinates of the three-dimensional tie points are improved, and the sensitivity to depth instability is reduced. It is suitable for regional network adjustment of aerospace remote sensing images and can still maintain a stable convergence process when the number of control points is reduced.