This case combines frame selection, object grouping, and adaptive completion to reduce data volume while preserving 3D model quality.
Sensor fusion and segmentation create a complete 3D workspace view for accurate robotic handling in changing conditions.
Automated 3D imaging measures spinal curvature to detect mild cattle lameness without individual handling or subjective scoring.
Camera and location data build local 3D maps, while servers aggregate global coverage and deliver relevant updates for AR.
This case uses 2D patient images to build parametric 3D tooth models, reducing scanning demands while visualizing gingiva and teeth.