Listar por tema "3D point clouds"
Mostrando ítems 1-2 de 2
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A distance correlation approach for optimum multiscale selection in 3D point cloud classification
(2021)[Abstract] Supervised classification of 3D point clouds using machine learning algorithms and handcrafted local features as covariates frequently depends on the size of the neighborhood (scale) around each point used to ... -
Compact and indexed representation for LiDAR point clouds
(Taylor & Francis, 2022)[Abstract]: LiDAR devices are capable of acquiring clouds of 3D points reflecting any object around them, and adding additional attributes to each point such as color, position, time, etc. LiDAR datasets are usually large, ...