Multi-Bernoulli sample consensus for simultaneous robust fitting of multiple structures in machine vision

@article{Hoseinnezhad2015MultiBernoulliSC,
  title={Multi-Bernoulli sample consensus for simultaneous robust fitting of multiple structures in machine vision},
  author={Reza Hoseinnezhad and Alireza Bab-Hadiashar},
  journal={Signal, Image and Video Processing},
  year={2015},
  volume={9},
  pages={1727-1736}
}
In many image processing applications, such as parametric range and motion segmentation, multiple instances of a model are fitted to data points. The most common robust fitting method, RANSAC , and its extensions are normally devised to segment the structures sequentially, treating the points belonging to other structures as outliers. Thus, the ratio of inliers is small and successful fitting requires a very large number of random samples, incurring cumbrous computation. This paper presents a… CONTINUE READING

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