GTGMM: geometry transformer and Gaussian Mixture Models for robust point cloud registration
Author:
Funder
National Natural Science Foundation of China
Science and Technology Plan Program in Shaanxi Province of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-18660-8.pdf
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3. Zhang Z, Dai Y, Sun J (2020) Deep learning based point cloud registration: an overview. Virtual Reality Intell Hardw 2(3):222–246
4. Zhou L, Sun G, Li Y, Li W, Su Z (2022) Point cloud denoising review: from classical to deep learning-based approaches. Graph Models 121:101140
5. Yuan W, Eckart B, Kim K, Jampani V, Fox D, Kautz J (2020) Deepgmr: Learning latent gaussian mixture models for registration. In: Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part V 16:733–750. Springer
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