Segmentation of unbalanced and in-homogeneous point clouds and its application to 3D scanned trees

Segmentation of 3D point clouds is still an open issue in the case of unbalanced and in-homogeneous data-sets. In the application context of the modeling of botanical trees, a fundamental challenge consists in separating the leaves from the wood. Based on deep learning and a class decision process,...

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