Reconstructing facade details using MLS point clouds and Bag-of-Words approach

Thomas Froech, Olaf Wysocki, Ludwig Hoegner, Uwe Stilla
2/9/2024
cs.CVcs.LG

No official code found. Best implementation: ThomasFroech/ReconstructingFacadeDetailsBoW (4 stars, last commit 2025-02-27).

Abstract

In the reconstruction of façade elements, the identification of specific object types remains challenging and is often circumvented by rectangularity assumptions or the use of bounding boxes. We propose a new approach for the reconstruction of 3D façade details. We combine MLS point clouds and a pre-defined 3D model library using a BoW concept, which we augment by incorporating semi-global features. We conduct experiments on the models superimposed with random noise and on the TUM-FAÇADE dataset. Our method demonstrates promising results, improving the conventional BoW approach. It holds the potential to be utilized for more realistic facade reconstruction without rectangularity assumptions, which can be used in applications such as testing automated driving functions or estimating façade solar potential.

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ThomasFroech/ReconstructingFacadeDetailsBoWCommunity100%

This repository contains the code that was used in the paper: Reconstructing façade details using MLS point clouds and Bag-of-Words approach

42PythonJul 20, 20231 years ago

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Cite this paper

@article{froech2024reconstructing,
  title  = {Reconstructing facade details using MLS point clouds and Bag-of-Words approach},
  author = {Thomas Froech and Olaf Wysocki and Ludwig Hoegner and Uwe Stilla},
  year   = {2024},
  eprint = {2402.06521},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2402.06521v1}
}

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