FaRo-PPF: Fast and Robust Point Pair Feature for 6D Pose Estimation in Industrial Stamping-Reference-Cited by-同舟云学术

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FaRo-PPF: Fast and Robust Point Pair Feature for 6D Pose Estimation in Industrial Stamping

Published:2023-07-08 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Advanced Robotics and Mechatronics (ICARM)
language:
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Author:

He Cheng¹,Zhang Xuebo¹,Zhao Zhenjie²

Affiliation:

1. Institute of Robotics and Automatic Information System, College of Artificial Intelligence, Nankai University,Tianjin Key Laboratory of Intelligent Robotics,Tianjin,P. R. China,300350

2. School of Computer Science, Nanjing University of Information Science and Technology,Nanjing,P. R. China,210044

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10218726/10218397/10218804.pdf?arnumber=10218804

Reference24 articles.

1. DeepIM: Deep Iterative Matching for 6D Pose Estimation

2. PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes

3. HomebrewedDB: RGB-D Dataset for 6D Pose Estimation of 3D Objects

4. Random sample consensus

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