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Line 206: ==Applications== ~~Applications~~ The RANSAC algorithm is often used in [[computer vision]], e.g., to simultaneously solve the [[correspondence problem]] and estimate the [[fundamental matrix (computer vision)\|fundamental matrix]] related to a pair of stereo cameras; see also: [[Structure from motion]], [[scale-invariant feature transform]], [[image stitching]], [[rigid motion segmentation]]. ==Development and improvements== Line 227: * [[FSASAC]] (RANSAC based on data filtering and [[simulated annealing]])<ref>W. Ruoyan and W. Junfeng, "[https://ieeexplore.ieee.org/document/9648331 FSASAC: Random Sample Consensus Based on Data Filter and Simulated Annealing]," in IEEE Access, vol. 9, pp. 164935-164948, 2021, doi: 10.1109/ACCESS.2021.3135416.</ref> == See also" == * [[Hough transform]]

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