UAVFF3D introduces a geometry-aware real-synthetic benchmark and evaluation protocol for feed-forward UAV 3D reconstruction that supports domain adaptation and reduces errors in camera pose and scene geometry.
IEEE transactions on pattern analysis and machine intelligence , volume=
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A drone-mounted stereo camera pipeline with YOLO segmentation, deep stereo depth, centroid triangulation, and MAD outlier rejection achieves robust 3D positioning of thin pine branches at 1-2 m distances.
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UAVFF3D: A Geometry-Aware Benchmark for Feed-Forward UAV 3D Reconstruction
UAVFF3D introduces a geometry-aware real-synthetic benchmark and evaluation protocol for feed-forward UAV 3D reconstruction that supports domain adaptation and reduces errors in camera pose and scene geometry.
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Low-Cost Stereo Vision for Robust 3D Positioning of Thin Radiata Pine Branches in Autonomous Drone Pruning
A drone-mounted stereo camera pipeline with YOLO segmentation, deep stereo depth, centroid triangulation, and MAD outlier rejection achieves robust 3D positioning of thin pine branches at 1-2 m distances.