A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION
提出了一种基于图卷积神经网络提取点特征的点云分类网络。 输入N*3的点云，通过切比雪夫多项式的图卷积，先升成N*1000，也就是把每个节点的信息增加到1000维，然后针对global-pooling，再做一次卷积，把两次卷积得到的2个N*1000维的张量，按列取最大和按列算方差（对称函数），则消除了点序的影响，然后两个2*1000的最大向量concat，两个2*1000的方差向量concat，得到
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相关文章
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