FE-RMVSNet: a feature-enhanced 3D reconstruction network
This study introduces FE-RMVSNet, a novel deep learning-based multi-view 3D reconstruction network. It effectively addresses common challenges in 3D reconstruction, such as occlusion and computational limitations, by enhancing feature extraction. FE-RMVSNet demonstrates superior performance in both accuracy and completeness compared to existing methods.
Authors
- Kailin Chen
- Jingjing Chen (ORCID: https://orcid.org/0000-0003-3148-264X)
- Jin Liu (ORCID: https://orcid.org/0000-0002-7610-0417)
- Jialong Li (ORCID: https://orcid.org/0009-0009-9359-4859)
Institutions
- Xidian University (CN)
Publication Details
- Published
- 2024-10-22
- DOI
- https://doi.org/10.1117/12.3037204
- Primary Topic
- Medical Image Segmentation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00