RATSAC: An Adaptive Method for Accelerated Robust Estimation and its Application to Video Synchronisation

Daniel Pooley, Michael J. Brooks, Anton van den Hengel · 2007

A new method for robust estimation is introduced. The presented algorithm seeks to unify adjustable per-iteration speedup methods with an adaptive assumption regarding the number of inliers. This is achieved by assuming a prior distribution on the true number of inliers, and using Bayesian inference to adjust the speedup whenever a best-so-far model estimate is found. Convincing results are obtained for both synthetic and real cases of the robust synchronisation of video pairs generated by independently moving cameras.

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