A Fully Convolutional Network for Semantic Labeling of 3D Point Clouds

no code implementations • 3 Oct 2017 • Mohammed Yousefhussien, David J. Kelbe, Emmett J. Ientilucci, Carl Salvaggio

In this paper we present a 1D-fully convolutional network that consumes terrain-normalized points directly with the corresponding spectral data, if available, to generate point-wise labeling while implicitly learning contextual features in an end-to-end fashion.

2D Semantic Segmentation Semantic Segmentation