3DRegNet: A Deep Neural Network for 3D Point Registration 2020論文筆記
Instituto Superior T ́ecnico, Lisboa; Google；印度科學研究所，班加羅爾；馬里蘭大學帕克分校 代碼鏈接：https://github.com/3DVisionISR/3DRegNet 本文提出了一種基於深度學習的點雲配準方法3DRegNet，超越了現有RANSAC和ICP的精度，同時在CPU上也達到了25倍RANSAC的速度。 注意3DRegNet假設兩個
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相關文章
- 1. [CVPR 2020] 3DRegNet: A Deep Neural Network for 3D Point Registration
- 2. DeepICP: An End-to-End Deep Neural Network for 3D Point Cloud Registration 2019 論文筆記
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- 8. 【ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression】論文筆記
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