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Outlier rejection (RANSAC)

taught

Fitting a model to random small samples, counting inliers under each candidate, and keeping the model with the most support -- the real fix for noisy correspondences Chapter 6's own homography recovery assumed away.

Taught in

Requires

Required by

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Local knowledge map

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Solid arrows are required prerequisites; dashed are recommended or helpful. Lower rows are more foundational. Click any box to jump to that concept.