3D Point Cloud Registration for Localization using a Deep Neural Network Auto-Encoder閱讀筆記
LORAX(LOcalization by Registration using a deep Auto-encoder reduced Cover Set) 1. Random Sphere Cover Set (RSCS) 2. Selection of a Normalized Local Coordinate System for each Super-point 3. Depth Map
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相關文章
- 1. 3DRegNet: A Deep Neural Network for 3D Point Registration 2020論文筆記
- 2. [CVPR 2020] 3DRegNet: A Deep Neural Network for 3D Point Registration
- 3. DeepICP: An End-to-End Deep Neural Network for 3D Point Cloud Registration 2019 論文筆記
- 4. 《3-D Deep Feature Construction for Mobile Laser Scanning Point Cloud Registration》閱讀筆記
- 5. [arXiv 2019] PCRNet: Point Cloud Registration Network using PointNet Encoding
- 6. 【閱讀筆記】《ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation》
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- 9. Deformable MRI-Ultrasound Registration Using 3D Convolutional Neural Network
- 10. 讀論文 3D Point Cloud Classification using 3D Modified Fisher Vector Representation for CNN