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AdaLAM is a fully handcrafted realtime outlier filter integrating several best practices into a single efficient and effective framework. It detects inliers by searching for significant local affine patterns in image correspondences.
Code for the ECCV 2022 paper NeFSAC: Neurally Filtered Minimal Samples
COLMAP - Structure-from-Motion and Multi-View Stereo