Editable 3D models of field-grown crops support high-throughput phenotyping and in silico breeding trials, but building them from scanned point clouds requires organ-level segmentation and fitting. Procedural generators can turn an organ-level parameter set into an analysis-suitable 3D model, but obtaining that set req...
Mozhgan Hadadi, T. Jubery, A. Krishnamurthy et al.· 0 citations
High-resolution Atomic Force Microscopy (AFM) serves as a foundational smart sensing technology for nanoscale characterization, yet raw topographical data is heavily degraded by spatial distortions and scanning artifacts. Standard image correction workflows depend on manual intervention or generic algorithms that ignor...
Jun-Tao Zhang, Angona Biswas, J. Rade et al.· Micron· 0 citations
With Manufacturing 4.0 and digital twins becoming prevalent, leveraging data from different sources, serial numbers, and lifecycle stages for quantitative evaluation is crucial to improve manufacturing. However, inconsistent geometries between as-built and as-designed parts cause difficulties in inspection using data o...
Computational Fluid Dynamics (CFD) is widely used to evaluate ventilation and contaminant transport in occupied buildings, but deployment at scale is limited by three bottlenecks: acquiring room geometry without costly scanning hardware or manual CAD modeling, decomposing the scene into individually manipulable objects...
Dhruv Gamdha, James Afful, Shambhavi Joshi et al.· 0 citations
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