Robust Multi-Model Fitting through Learning Neighbor Regions
Presents LNR, a coarse-to-fine robust multi-model fitting framework that screens minimal sample sets and refines hypothesis neighborhoods to overcome combinatorial explosion under multi-structure overlap.
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