Instance segmentation of point cloud captured by RGB-D sensor based on deep learning-Reference-Cited by-同舟云学术

Instance segmentation of point cloud captured by RGB-D sensor based on deep learning

Published:2021-07-02 Issue:9 Volume:34 Page:950-963
ISSN:0951-192X
Container-title:International Journal of Computer Integrated Manufacturing
language:en
Short-container-title:International Journal of Computer Integrated Manufacturing

Author:

Wang Zhengtuo¹²,Xu Yuetong¹²,Yu Jiongyan¹²³,Xu Guanhua¹²,Fu Jianzhong¹²,Gu Tianyi¹

Affiliation:

1. The State Key Laboratory of Fluid Power and Mechatronic Systems, Institute of Manufacturing Technology and Equipment Automation, College of Mechanical Engineering, Zhejiang University, Hangzhou, China

2. Key Laboratory of 3D Printing Process and Equipment of Zhejiang Province, Institute of Manufacturing Technology and Equipment Automation, College of Mechanical Engineering, Zhejiang University, Hangzhou, China

3. Suzhou Zijingang Intelligent Manufacturing Equipment Co., Ltd., Suzhou, China

Funder

Natural Science Foundation of China

National Natural Science Foundation of China

Science Fund for Creative Research Groups of National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Aerospace Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/0951192X.2021.1946853

Reference55 articles.

1. An approach for monitoring the execution of human based assembly operations using machine learning

2. Octree-based region growing for point cloud segmentation

3. YOLACT++ Better Real-Time Instance Segmentation

4. YOLACT: Real-Time Instance Segmentation

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