An unsupervised method detects vanishing points by fitting implicit lines through recurring feature correspondences and combining them with explicit lines via weighted RANSAC, outperforming classical and supervised methods on its new recurring-pattern benchmarks.
Globally optimal consensus set maximization through rota- tion search
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Recurrence-based Vanishing Point Detection
An unsupervised method detects vanishing points by fitting implicit lines through recurring feature correspondences and combining them with explicit lines via weighted RANSAC, outperforming classical and supervised methods on its new recurring-pattern benchmarks.