RANSAC for Dummies
Book information
Description
Draft edition, 2014. — 96 p.Both the tutorial and the RANSAC toolbox are supposed to provide a simple and quick way to start experimenting the RANSAC algorithm utilizing Matlab & Octave.The notes may seem somewhat heterogeneous, but they collect some theoretical discussions and practical considerations that are all connected to the topic of robust estimation, more specifically utilizing the RANSAC algorithm.Despite the fact that several users tested this package and sent me their invaluable feedback, it is possible (actually very probable) that these notes still contain typos or even plain mistakes. Similarly, the RANSAC toolbox may contain all sorts of bugs. This is why I really look forward to receive your comments: compatibly with my other commitments I will try to improve the quality of this little contribution in the fervent hope that somebody might find it useful.Parameter Estimation in Presence of OutliersRANdom Sample and ConsensusRANSAC at WorkNotationSome Linear Algebra FactsThe Normalized Direct Linear Transform (nDLT) AlgorithmSome Code from the RANSAC Toolbox
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