Open Access iconOpen Access


Robust Symmetry Prediction with Multi-Modal Feature Fusion for Partial Shapes

Junhua Xi1, Kouquan Zheng1, Yifan Zhong2, Longjiang Li3, Zhiping Cai1,*, Jinjing Chen4

1 National University of Defense Technology, Changsha, Hunan, China
2 Jiangxi University of Finance and Economics, Jiangxi, China
3 Unit 78111 of Chinese People’s Liberation Army, Chengdu, Sichuan, China
4 Sungkyunkwan University, Korea

* Corresponding Author: Zhiping Cai. Email: email

Intelligent Automation & Soft Computing 2023, 35(3), 3099-3111.


In geometry processing, symmetry research benefits from global geometric features of complete shapes, but the shape of an object captured in real-world applications is often incomplete due to the limited sensor resolution, single viewpoint, and occlusion. Different from the existing works predicting symmetry from the complete shape, we propose a learning approach for symmetry prediction based on a single RGB-D image. Instead of directly predicting the symmetry from incomplete shapes, our method consists of two modules, i.e., the multi-modal feature fusion module and the detection-by-reconstruction module. Firstly, we build a channel-transformer network (CTN) to extract cross-fusion features from the RGB-D as the multi-modal feature fusion module, which helps us aggregate features from the color and the depth separately. Then, our self-reconstruction network based on a 3D variational auto-encoder (3D-VAE) takes the global geometric features as input, followed by a prediction symmetry network to detect the symmetry. Our experiments are conducted on three public datasets: ShapeNet, YCB, and ScanNet, we demonstrate that our method can produce reliable and accurate results.


Cite This Article

APA Style
Xi, J., Zheng, K., Zhong, Y., Li, L., Cai, Z. et al. (2023). Robust symmetry prediction with multi-modal feature fusion for partial shapes. Intelligent Automation & Soft Computing, 35(3), 3099-3111.
Vancouver Style
Xi J, Zheng K, Zhong Y, Li L, Cai Z, Chen J. Robust symmetry prediction with multi-modal feature fusion for partial shapes. Intell Automat Soft Comput . 2023;35(3):3099-3111
IEEE Style
J. Xi, K. Zheng, Y. Zhong, L. Li, Z. Cai, and J. Chen "Robust Symmetry Prediction with Multi-Modal Feature Fusion for Partial Shapes," Intell. Automat. Soft Comput. , vol. 35, no. 3, pp. 3099-3111. 2023.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 803


  • 589


  • 0


Share Link