5 datasets found

Successful point cloud registration relies on accurate correspondences established upon powerful descriptors. However, existing neural descriptors either leverage a...

The 3DMatch and 3DLoMatch datasets are used for point cloud registration. The 3DMatch dataset contains 46 scenes for training, 8 for validation, and 8 for testing. The 3DLoMatch...

The 3DMatch [26] is a well-known indoor registration dataset of 62 scenes captured by RGBD sensor.

The PVT dataset is a public dataset for point cloud registration, containing 1,010 pairs of inhale and exhale lung vessel point clouds.

3D Convolutional Neural Networks are sensitive to transformations applied to their input. This is a problem because a voxelized version of a 3D object, and its rotated clone,...