most citedSC6D: Symmetry-agnostic and Correspondence-free 6D Object Pose Estimation

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cs.CV2022★ 1 cited

SC6D: Symmetry-agnostic and Correspondence-free 6D Object Pose Estimation

Dingding Cai, Janne Heikkilä, Esa Rahtu

This paper presents an efficient symmetry-agnostic and correspondence-free framework, referred to as SC6D, for 6D object pose estimation from a single monocular RGB image. SC6D req…

cs.CV2022

OVE6D: Object Viewpoint Encoding for Depth-based 6D Object Pose Estimation

Dingding Cai, Janne Heikkilä, Esa Rahtu

This paper proposes a universal framework, called OVE6D, for model-based 6D object pose estimation from a single depth image and a target object mask. Our model is trained using pu…