Realizing a model able to recognize groups of objects, sparsely distributed inside a container. Such model must take as input a 3-dimensional array of x-y-z coordinates, namely a point cloud that faithfully represent the targets in the 3D space.
3D feature extraction and object detection in point clouds
Adami, Alberto
2019/2020
Abstract
Realizing a model able to recognize groups of objects, sparsely distributed inside a container. Such model must take as input a 3-dimensional array of x-y-z coordinates, namely a point cloud that faithfully represent the targets in the 3D space.File in questo prodotto:
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Utilizza questo identificativo per citare o creare un link a questo documento:
https://hdl.handle.net/20.500.12608/28046