“Fast, Accurate and Sparse, Automatic Facade Reconstruction from Unstructured Ground Laser-Scans” by Edum-Fotwe, Shepherd, Brown, Harper and Dinnis
Conference:
Type(s):
Entry Number: 67
Title:
- Fast, Accurate and Sparse, Automatic Facade Reconstruction from Unstructured Ground Laser-Scans
Presenter(s)/Author(s):
Abstract:
This simple paper describes an intuitive data-driven approach to reconstructing architectural facade models from unstructured pointclouds. The algorithm presented yields sparse semantically-rich models that are better suited to interactive simulation than the equivalent dense-reconstructions, yet executes significantly faster than the prevalent sparse-operators. The key advantages include accuracy, efficiency and the ability to model irregular windows.
Keyword(s):
- laser scanning
- LIDAR
- architectural reconstruction
- procedural modelling
- window detection
- pointset segmentation
Additional Images:
![©K. Edum-Fotwe, P. Shepherd, M. Brown, D. Harper, and R. Dinnis](https://history.siggraph.org/wp-content/uploads/2022/10/2016-Poster-67-Edum-Fotwe_Fast-Accurate-and-Sparse-Automatic-Façade-Reconstruction-From-Unstructured-Ground-Laser-Scans-04.jpg)