activity
20172024
most citedGS-Pose: Generalizable Segmentation-based 6D Object Pose Estimation with 3D Gaussian Splatting

3 citations · 8 across the 7 of their papers we have counts for

collaborators
Showing 2022Show all

2 papers · 1 filter

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…