Semantic Skeletonization for Structural Plant Analysis
Keywords: Plant modeling, Structural plant analysis, 3D skeletonization, Feature extraction
AbstractComputational plant modeling from 3D sensor data is crucial for the early assessment of plant traits. Semantic modeling enables the incorporation of knowledge about the plant species, leading to an improvement of purely geometrical skeletonization approaches. Structural plant features can thereby robustly be extracted from the sensor data.
1B Reconstructing and observing plant structure
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