12 datasets found

The dataset used for learning compact geometric features for local geometry in unstructured point clouds.

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

The dataset used in the paper for point cloud sampling and classification tasks.

The dataset is used to estimate the parameters of a Markov-Modulated Jump-Diffusion Model (MMJDM) for stock prices.

The KITTI odometry dataset is a collection of 22 sequences, containing point clouds, images, and GPS recordings of inner-city traffic, residential areas, highway scenes, and...

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.

The PREDATOR dataset used for point cloud registration

The dataset used for the MVP Point Cloud Registration Challenge 2021

The dataset used in the paper is a synthetic dataset for off-policy contextual bandits, with contexts x ∈ X, a finite set of actions A, and bounded real rewards r ∈ A → [0, 1].

Point cloud registration is a crucial problem in computer vision and robotics. Existing methods either rely on matching local geometric features, which are sensitive to the pose...