3D Shape Classification——Point-based Data Indexing based
點雲處理——基於數據索引的方法 Octree guided CNN using spherical kernels (CVPR2019) KdNet 在這些方法中，點特徵是沿着樹從葉節點到根節點分層學習的。根節點的特徵代表了整個點雲的特徵。 代表1： Octree guided CNN using spherical kernels (CVPR2019) 核心思想：利用八叉樹將點雲規格化，類似
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相關文章
- 1. 3D Shape Classification——Point-based Graph based
- 2. 3D Shape Classification——Point-based Discrete Convolution Network
- 3. 3D Shape Classification——Point-based Continuous Convolution Networks
- 4. 【HALCON】【3D Matching】【Shape-Based】create_shape_model_3d
- 5. 3D Machine Learning Single Object Classification
- 6. Image-based 3D Object Reconstruction
- 7. 【論文閱讀】2017-Segmentation-Based Classification for 3D PointClouds in the Road Environment
- 8. 論文閱讀：Volumetric and Multi-View CNNs for Object Classification on 3D Data
- 9. 閱讀筆記Surflet-Pair-Relation Histograms: A Statistical 3D-Shape Representation for Rapid Classification
- 10. 論文《3D Shape Measurement Based on Digital SpeckleProiection and Spatio-temporal Correlation》學習