Finite linear measurements in variational neural discretizations cause ill-posed discrete problems with non-unique minimizers, independent of the underlying continuous variational problem's well-posedness.
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2026 3verdicts
UNVERDICTED 3representative citing papers
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.
Drone stereo vision pipeline segments pine branches with YOLO variants and estimates depth with deep stereo networks, yielding more coherent maps than SGBM at 1-2 m distances.
citing papers explorer
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Non-Uniqueness of Solutions in Neural Variational Methods
Finite linear measurements in variational neural discretizations cause ill-posed discrete problems with non-unique minimizers, independent of the underlying continuous variational problem's well-posedness.
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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.
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Positioning radiata pine branches requiring pruning by drone stereo vision
Drone stereo vision pipeline segments pine branches with YOLO variants and estimates depth with deep stereo networks, yielding more coherent maps than SGBM at 1-2 m distances.