Surface Reconstruction from 3D Line Segments
This addresses surface reconstruction for man-made environments where point-based methods fail due to lack of texture, but it appears incremental as it builds on existing line-based approaches.
The paper tackles the problem of reconstructing watertight piecewise-planar surfaces from 3D line segments in texture-scarce environments like indoor scenes, achieving robustness to sparse data, noise, and outliers.
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.