RGB-based Category-level Object Pose Estimation via Decoupled Metric Scale Recovery
Author:
Affiliation:
1. Technical University of Munich,Smart Robotics Lab, CIT
2. Tencent
3. ShanghaiTech University,Mobile Perception Lab, SIST
4. Australian National University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10609961/10609862/10611723.pdf?arnumber=10611723
Reference31 articles.
1. 6d object pose estimation with depth images: A seamless approach for robotic interaction and augmented reality;Tan,2017
2. Deep Multi-state Object Pose Estimation for Augmented Reality Assembly
3. Vision-based robotic grasping from object localization, object pose estimation to grasp estimation for parallel grippers: a review
4. Feature Sensing and Robotic Grasping of Objects with Uncertain Information: A Review
5. RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization
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