The WoodSeer project is funded by the French ANR and coordinated by Thiéry Constant from INRA. Its purpose is to evaluate the use of machine learning to predict the interior distribution of defects inside roundwood from the external geometry of the wood.
3D Reconstruction
Work by Aishwarya Venkataramanan.
Within the project, several techniques for tree geometry reconstruction will be evaluated, from portable laser scanners to computer vision. The image below shows the reconstruction achieved using image sequences captured with a DJI Osmo pocket, processed with ColMap after our own pre-processing. A zoom on the reconstructed surface and its wireframe is also visible.