Neural networks for multi-scale edge classification in 3D point cloud
Chems Eddine Himeur  1  
1 : Institute de recherche en informatique de Toulouse  (IRIT)
Université Toulouse III - Paul Sabatier

Point clouds are unstructured clusters of data representing geometries. Point cloud analysis is a challenging field, especially challenging for use of neural networks. In this presentation I will explore point cloud analysis using neural networks, and the combination between scale-space analysis and neural network classifier, to make a robust and fast edge detection network for point cloud labeling.


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