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Multiple Models Fitting as a Set Coverage Problem

2019-12-27 | |  52 |   46 |   0

Abstract

This paper deals with the extraction of multiple models from noisy or outlier-contaminated data. We cast the multi-model fitting problem in terms of set coverage, deriving a simple and effective method that generalizes Ransac to multiple models and deals with intersecting structures and outliers in a straightforward and principled manner, while avoiding the typical shortcomings of sequential approaches and those of clustering. The method compares favorablyagainst the state-of-the-art on simulated and publicly available real data-sets.

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