Texture-based Separation to Refine Building Meshes
Abstract
We present a texture-based separation approach to refine building meshes, which aims to address the challenges of detecting and isolating different objects in an indoor scene mesh. We propose a novel segmentation model based on the materials of the different parts of the scene. The proposed approach uses factorization-based texture segmentation to separate the different materials in the meshes and detect the edges on the segmented texture.
Workflow
Bibtex
@article{vermandere2023texture,
title={Texture-Based Separation to Refine Building Meshes},
author={Vermandere, Jelle and Bassier, Maarten and Vergauwen, Maarten},
journal={ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
volume={10},
pages={479--485},
year={2023},
publisher={Copernicus GmbH},
dio = {10.5194/isprs-annals-X-1-W1-2023-479-2023}
}