REG-Net: Improving 6DoF Object Pose Estimation With 2D Keypoint Long-Short-Range-Aware Registration-Reference-Cited by-同舟云学术

REG-Net: Improving 6DoF Object Pose Estimation With 2D Keypoint Long-Short-Range-Aware Registration

Author:

Jiang Junjie¹^ORCID,He Zaixing¹^ORCID,Zhao Xinyue¹^ORCID,Zhang Shuyou¹^ORCID,Wu Chenrui²^ORCID,Wang Yang¹^ORCID

Affiliation:

1. School of Mechanical Engineering, State Key Lab of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, China

2. Department of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai, China

Funder

National Key Research and Development Project

National Natural Science Foundation of China

Zhejiang Provincial Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

Reference33 articles.

4. Model based training, detection and pose estimation of texture-less 3D objects in heavily cluttered scenes;stefan;Proc Asian Conf Comput Vis,2012

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