4 datasets found

The CAMO dataset contains 3D point clouds of objects from CAD models.

The dataset used for training a Convolutional Neural Network to predict a grasp quality score over all grasp poses, given a depth image of an object.

3D shapes are represented as point clouds, which are unordered sets of 3D points.

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...