DL

PointNetLK: Lessons Learned for Beginners in Deep Learning and Point Cloud Registration PointNetLK is built upon the PointNet model, a novel and widely-used approach for extracting features from point clouds, originally developed by Zhang et al. PointNetLK applies the Lucas-Kanade (LK) algorithm to approximate the transformation matrix between point clouds. For beginners in deep learning or point cloud registration, here are some important lessons: Clarify Your Use Case It’s crucial to understand your target application and how users will interact with your model....