Surface Reconstruction from 3D Line Segments

TL;DR

This paper introduces a new method for reconstructing watertight, piecewise-planar surfaces in indoor scenes using 3D line segments, especially when point-based methods fail due to lack of texture.

Contribution

It proposes a novel RANSAC-based approach for plane extraction from 3D line segments with visibility info, enabling robust surface reconstruction in challenging environments.

Findings

Robustness to sparse data, noise, and outliers.

Effective plane extraction from line segments.

Accurate surface reconstruction in textureless scenes.

Abstract

In man-made environments such as indoor scenes, when point-based 3D reconstruction fails due to the lack of texture, lines can still be detected and used to support surfaces. We present a novel method for watertight piecewise-planar surface reconstruction from 3D line segments with visibility information. First, planes are extracted by a novel RANSAC approach for line segments that allows multiple shape support. Then, each 3D cell of a plane arrangement is labeled full or empty based on line attachment to planes, visibility and regularization. Experiments show the robustness to sparse input data, noise and outliers.