A 3D object recognition and pose estimation system using deep learning method-Reference-Cited by-同舟云学术

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A 3D object recognition and pose estimation system using deep learning method

Published:2014-04 Issue: Volume: Page:
ISSN:
Container-title:2014 4th IEEE International Conference on Information Science and Technology
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Author:

Liang Dong,Weng Kaijian,Wang Can,Liang Guoyuan,Chen Haoyao,Wu Xinyu

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6906542/6920317/06920502.pdf?arnumber=6920502

Cited by 16 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Vision-based measurement for quality control inspection in the context of Industry 4.0: a comprehensive review and design challenges;Journal of the Brazilian Society of Mechanical Sciences and Engineering;2023-03-31

2. Feature-Based Object Detection and Pose Estimation Based on 3D Cameras and CAD Models for Industrial Robot Applications;2022 18th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA);2022-11-28

3. Object Recognition and Pose Estimation from RGB-D Data Using Active Sensing;2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM);2022-07-11

4. SparseVoxNet: 3-D Object Recognition With Sparsely Aggregation of 3-D Dense Blocks;IEEE Transactions on Neural Networks and Learning Systems;2022

5. Realtime RGB-Based 3D Object Pose Detection Using Convolutional Neural Networks;IEEE Sensors Journal;2020-10-15

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