A refinement framework uses MLS point clouds and binary integer optimization to correct facade misalignments in ALS-derived building models, reducing RMSE by 36% while ensuring watertight and manifold geometry.
Deep-learning-based 3-d surface reconstruction—a survey.Proceedings of the IEEE, 111(11):1464–1501
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Confidence-Driven Facade Refinement of 3D Building Models Using MLS Point Clouds
A refinement framework uses MLS point clouds and binary integer optimization to correct facade misalignments in ALS-derived building models, reducing RMSE by 36% while ensuring watertight and manifold geometry.