MonteBoxFinder: Detecting and Filtering Primitives to Fit a Noisy Point Cloud

Abstract

Project page: https://michaelramamonjisoa.github.io/projects/MonteBoxFinder Fig. 1. Given a noisy 3D scan with missing data, our method extracts many possible cuboids, and then efficiently selects the subset that fits the scan best.