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Zero-shot floorplan localization uses geometric primitives

Researchers have developed Z-FLoc, a novel zero-shot method for localizing camera poses within floorplans without requiring environment-specific retraining. The approach leverages ubiquitous geometric primitives like lines and circles extracted from 3D reconstructions. These primitives are then matched to the floorplan using specialized solvers within a robust estimation framework. Experiments indicate Z-FLoc outperforms existing learning-based methods on unseen environments with consistent hyperparameters. AI

IMPACT Introduces a novel approach to visual localization that could reduce reliance on extensive training data for new environments.

RANK_REASON The cluster contains an academic paper detailing a new research method. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Ayumi Umemura, Toshinori Kuwahara, Marc Pollefeys, Daniel Barath ·

    Z-FLoc: Zero-Shot Floorplan Localization via Geometric Primitives

    arXiv:2606.04788v1 Announce Type: new Abstract: Visual localization -- estimating a camera pose within a pre-existing map -- is a fundamental problem in computer vision. Floorplans are an attractive map representation: they are readily available for most buildings, compact, and i…