3D Grasp Pose Generation from 2D Anchors and Local Surface-Reference-Cited by-同舟云学术

3D Grasp Pose Generation from 2D Anchors and Local Surface

Published:2022-12-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 18th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry
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Author:

Xu Hao¹^ORCID,Sun Yangchang²^ORCID,Sun Qi³^ORCID,Yang Minghao⁴^ORCID,Chen Jinlong⁵^ORCID,Qiang Baohua⁵^ORCID,Wang Jinghong⁶^ORCID

Affiliation:

1. The Research Center for Brain-Inspired Intelligence (BII), Institute of Automation, Chinese Academy of Sciences (CASIA), China and the School of Information Engineering, Zhejiang Sci-Tech University, China

2. School of Computer and Control Engineering, Chinese Academy of Sciences, University of Chinese Academy of Sciences, China

3. the School of Information Engineering, Zhejiang Sci-Tech University, China

4. The Research Center for Brain-Inspired Intelligence (BII), Institute of Automation, Chinese Academy of Sciences (CASIA), China

5. Guilin University of Electronic Science and Technology, China

6. School of Computer and Cyberspace Security, Hebei Normal University, China

Funder

Science and Technology on Aerospace Flight Dynamics Laboratory

the National Natural Science Foundation of China

This work is supported by the National Key Research & Development Program of China

the Guangxi Key Research and Development Program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3574131.3574453

Reference37 articles.

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4. Alexey Bochkovskiy , Chien-Yao Wang , and Hong- Yuan Mark Liao . 2020 . YOLOv4: Optimal Speed and Accuracy of Object Detection . In IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Alexey Bochkovskiy, Chien-Yao Wang, and Hong-Yuan Mark Liao. 2020. YOLOv4: Optimal Speed and Accuracy of Object Detection. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

5. Learning grasping points with shape context

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