Computational Algebraic Geometry
Bundle adjustment is a mathematical optimization technique used in computer vision to refine the 3D structure and camera parameters of a scene by minimizing the reprojection error between observed and predicted image points. It is essential for improving the accuracy of 3D reconstructions and camera poses in various applications, such as photogrammetry and visual SLAM (Simultaneous Localization and Mapping). By using a global optimization approach, bundle adjustment ensures that all parameters are optimized together, leading to better overall results.
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