Estimating plant growth parameters using an energy minimization-based stereovision model
A novel approach for 3D stereoscopic plant modeling was developed, based on the dynamic programming (DP) methodology. Relying on DP enables to handle low textured plants scenes which hinder other radiometric-based 3D reconstructing methods. The model proved robustness for field conditions, including extreme illumination such shadow and strong light. The model provides height, leaf area, and biomass estimations for both, single plant and community level (overlapping plants). The model handles varying plant species and growth stage with no particular adaptations.
height biomass 3d-reconstruction invariant transformation leaf cover area