Relation-Shape Convolutional Neural Network for Point Cloud Analysis 論文解讀
Abstract 1.點雲不規則點所表示的形狀是很難分析的，本文將規則的卷積操作應用了不規則的點雲分析上，稱爲Relation-Shape Convolutional Neural Network，主要是爲了學習點和點之間的幾何拓撲限制。 ps：拓撲是研究幾何圖形或空間在連續改變形狀後還能保持不變的一些性質的一個學科。它只考慮物體間的位置關係而不考慮它們的形狀和大小。 2.局部點集的權重必須從預定
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相關文章
- 1. Relation-Shape Convolutional Neural Network for point cloud analysis
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- 8. 【論文閱讀】- 2017-A Convolutional Neural Network-Based 3D Semantic Labeling Method for ALS Point Clouds
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