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Classes | |
| class | pcl::MaximumLikelihoodSampleConsensus< PointT > |
| MaximumLikelihoodSampleConsensus represents an implementation of the MLESAC (Maximum Likelihood Estimator SAmple Consensus) algorithm, as described in: "MLESAC: A new robust estimator with application to
estimating image geometry", P.H.S. Torr and A. Zisserman, Computer Vision and Image Understanding, vol 78, 2000. More... | |
Namespaces | |
| namespace | pcl |