Kunbo Li

Exploring Multiple Geometric Representations for 6DoF Object Pose Estimation

Convolutional neural networks have shown excellent potential on establishing correspondences from 2D images to 3D objects for object 6D pose estimation, both for dense and sparse methods. However, only single geometric representation between each object pixel and keypoint is utilized in existing spa