Category-Level 6D Object Pose Estimation via Cascaded Relation and Recurrent Reconstruction Networks
Jiaze Wang,Kai Chen,Qi Dou,Jiaze Wang,Kai Chen,Qi Dou
Category-level 6D pose estimation, aiming to predict the location and orientation of unseen object instances, is fundamental to many scenarios such as robotic manipulation and augmented reality, yet still remains unsolved. Precisely recovering instance 3D model in the canonical space and accurately matching it with the observation is an essential point when estimating 6D pose for unseen objects. I...
