An open-vocabulary pipeline anchors functional edges via 2D visual grounding then uses temporal 3D graph optimization with evidence accumulation and entropy regularization to build hierarchical scene graphs for dense indoor scenes.
In: CVPR (2017)
2 Pith papers cite this work. Polarity classification is still indexing.
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Delaunay Canopy uses Delaunay graphs as a geometric prior with region-wise curvature scoring to reconstruct accurate building wireframes from sparse and noisy airborne LiDAR point clouds.
citing papers explorer
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Hierarchical and Holistic Open-Vocabulary Functional 3D Scene Graphs for Indoor Spaces
An open-vocabulary pipeline anchors functional edges via 2D visual grounding then uses temporal 3D graph optimization with evidence accumulation and entropy regularization to build hierarchical scene graphs for dense indoor scenes.
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Delaunay Canopy: Building Wireframe Reconstruction from Airborne LiDAR Point Clouds via Delaunay Graph
Delaunay Canopy uses Delaunay graphs as a geometric prior with region-wise curvature scoring to reconstruct accurate building wireframes from sparse and noisy airborne LiDAR point clouds.