MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences
MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences
Understanding dynamic 3D environment is crucial for robotic agents and many other applications. We propose a novel neural network architecture called MeteorNet for learning representations for dynamic 3D point cloud sequences. Different from previous work that adopts a grid-based representation and applies 3D or 4D convolutions, our network directly processes …