Consensus set maximization with guaranteed global optimality for robust geometry estimation

Finding the largest consensus set is one of the key ideas used by the original RANSAC for removing outliers in robust-estimation. However, because of its random and non-deterministic nature, RANSAC does not fulfill the goal of consensus set maximization exactly and optimally. Based on global optimiz...

Ausführliche Beschreibung

Bibliographische Detailangaben

1. Verfasser:	Hongdong Li
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Australia Geometry Heuristic algorithms Histograms Iterative algorithms Linear programming Parameter estimation Robustness Sampling methods Solid modeling
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