Learning-based Intrinsic Reflectional Symmetry Detection-Reference-Cited by-同舟云学术

Learning-based Intrinsic Reflectional Symmetry Detection

Published:2022 Issue: Volume: Page:1-1
ISSN:1077-2626
Container-title:IEEE Transactions on Visualization and Computer Graphics
language:
Short-container-title:IEEE Trans. Visual. Comput. Graphics

Author:

Qiao Yi-Ling¹,Gao Lin²,Liu Shu-Zhi³,Liu Ligang⁴,Lai Yu-Kun⁵,Chen Xilin⁶

Affiliation:

1. Advanced Computer Research Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, Beijing, China

2. Advanced Computer Research Center, Institute of Computing Technology Chinese Academy of Sciences, 53035 Beijing, Beijing, China, 100190

3. Computer Science and Technology, University of Chinese Academy of Sciences, Beijing, Beijing, China

4. Department of Mathematics, Zhejiang University, Hangzhou, Zhejiang, China, 310027

5. School of Computer Science and Informatics, Cardiff University, 2112 Cardiff, South Glamorgan, United Kingdom of Great Britain and Northern Ireland

6. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, Beijing, China, 100080

Funder

National Natural Science Foundation of China

Royal Society Newton Advanced Fellowship

Beijing Municipal Natural Science Foundation for Distinguished Young Scholars

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

http://xplorestaging.ieee.org/ielx7/2945/4359476/09770416.pdf?arnumber=9770416

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1. E3Sym: Leveraging E(3) Invariance for Unsupervised 3D Planar Reflective Symmetry Detection;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

2. Implementation and analysis of symmetrical signals in the sequency domain;International Journal of ADVANCED AND APPLIED SCIENCES;2023-05