Monte Carlo Convolution for Learning on Non-Uniformly Sampled Point Clouds

1 code implementation • 5 Jun 2018 • Pedro Hermosilla, Tobias Ritschel, Pere-Pau Vázquez, Àlvar Vinacua, Timo Ropinski

We propose an efficient and effective method to learn convolutions for non-uniformly sampled point clouds, as they are obtained with modern acquisition techniques.

Point Cloud Segmentation