[TensorFlow] Official implementation of CVPR'20 oral paper - D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features https://arxiv.org/abs/2003.03164
Hi @gmcalo I follow the instructions of 3DMatch paper to fuse the RGBD image to get .ply file and its corresponding pose. You may find the code here or use the original implementation provided by 3DMatch.
In datasets/cal_overlap.py, it use the ply file instead of the rgbd picture which download on 3DMatch dataset. How to get the ply files?