3DRegNet: A Deep Neural Network for 3D Point Registration
3DRegNet: A Deep Neural Network for 3D Point Registration
We present 3DRegNet, a novel deep learning architecture for the registration of 3D scans. Given a set of 3D point correspondences, we build a deep neural network to address the following two challenges: (i) classification of the point correspondences into inliers/outliers, and (ii) regression of the motion parameters that align …