Image Stitching with LM Algorithm Correction for Manually Selected Feature Points
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Resource Overview
Detailed Documentation
This MATLAB-based image stitching program utilizes the Levenberg-Marquardt (LM) algorithm to correct manually selected feature points. Image stitching refers to the process of combining multiple images into a larger composite image. The LM algorithm serves as an optimization technique that adjusts feature point positions to achieve superior alignment in the final stitched image. The implementation involves feature extraction using methods like SIFT or SURF, followed by LM optimization to minimize reprojection errors between matched points. Key MATLAB functions employed include optimset for configuring LM parameters and custom functions for handling homography matrix calculations. The algorithm iteratively refines point correspondences through gradient descent with adaptive damping factors, ensuring robust convergence even with imperfect initial feature selections.
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