A model-free system uses 2D point trackers to achieve causal 6D pose tracking and incremental 3D reconstruction for multiple unseen rigid objects from RGB-D video, with recovery from complete occlusions.
In: 2011 10th IEEE international symposium on mixed and augmented reality
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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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Point2Pose: Occlusion-Recovering 6D Pose Tracking and 3D Reconstruction for Multiple Unknown Objects Via 2D Point Trackers
A model-free system uses 2D point trackers to achieve causal 6D pose tracking and incremental 3D reconstruction for multiple unseen rigid objects from RGB-D video, with recovery from complete occlusions.
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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.