TP-AE: Temporally Primed 6D Object Pose Tracking with Auto-Encoders-Reference-Cited by-同舟云学术

TP-AE: Temporally Primed 6D Object Pose Tracking with Auto-Encoders

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Robotics and Automation (ICRA)
language:
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Author:

Zheng Linfang¹,Leonardis Ales²,Tse Tze Ho Elden²,Horanyi Nora²,Chen Hua¹,Zhang Wei¹,Chang Hyung Jin²

Affiliation:

1. Southern University of Science and Technology (SUSTech),Department of Mechanical and Energy Engineering,China

2. School of Computer Science, University of Birmingham,UK

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9811522/9811357/09811890.pdf?arnumber=9811890

Reference52 articles.

1. BOP: Benchmark for 6D Object Pose Estimation;hodan;15th European Conference,0

2. Ylabbe/cosypose: Code for “cosypose: Consistent multi-view multi-object 6d pose estimation;labbé;eccv 2020 pre-trained model ids refiner-bop-tless-synt+real-881314 and detector-bop-tless-synt+real-452847,2020

3. The unscented kalman filter for non-linear estimation;wan;Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing Communications and Control Symposium (Cat No 00EX373),0

4. MaskUKF: An Instance Segmentation Aided Unscented Kalman Filter for 6D Object Pose and Velocity Tracking

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3. HS-Pose: Hybrid Scope Feature Extraction for Category-level Object Pose Estimation;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

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