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3D Shape Classification——Point-based Data Indexing based
時間 2020-12-30
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3D點雲處理
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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.
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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
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