Point Cloud, Computer Vision, 3d, Machine Learning, Deep Learning.
makes sense because our point clouds were already imperfect so when we downsample them we lose even more information that could be valuable for learning good features by PointNet. Another factor that we found to be very important is the type of sampling algorithm used to get the final input to