Learning 6D Object Pose from Point Clouds

Abstract

Knowing the 6D pose of an object is a prerequisite for robotic applications such as grasping and manipulation. Majority of existing methods rely on color as the primary data modality. Since depth contains object surface information, we study what depth can contribute to estimating 6D object pose.