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Imperial College London Department of Computing Bundle Adjustment with PyOP2 Paul Gribelyuk August 2013 Supervised by Professor Paul H J Kelly Submitted in part full?lent of the requirements for the
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Bundle adjustment with pyop2 is a computational optimization technique used to refine the parameters of a camera or sensors, along with the 3D structure of a scene, by minimizing the reprojection error between the observed and predicted positions of features in multiple images.
Researchers, developers, or engineers working on computer vision, robotics, photogrammetry, or related fields may be required to perform bundle adjustment with pyop2.
To fill out bundle adjustment with pyop2, you need to provide image data, camera calibration parameters, and features detected in multiple images to the optimization algorithm.
The purpose of bundle adjustment with pyop2 is to improve the accuracy of camera calibration, 3D reconstruction, and scene understanding by refining the parameters through optimization.
The information reported on bundle adjustment with pyop2 includes camera parameters, feature correspondences, reprojection errors, and optimized parameter values.
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