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PointNet:Deep Learning on Point Sets for 3D Classificatiion and Segmentation
时间 2020-12-30
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点云分割
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本文亮点: 直接把点云数据作为神经网络的输入,该网络既可以用于分类也可以用于分割。 1,通过空间变换网络解决旋转不变问题。 2,利用maxpooling作为对称函数解决点云无序问题。 一,点云数据存在的问题 (1)无序性 点云本质上是一长串点(nx3矩阵,其中n是点数)。在几何上,点的顺序不影响它在空间中对整体形状的表示。因此,在提取点云特征时需要对无序数据做处理,使其对不同排列数据都有
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Deep Learning on Point Sets for 3D Classification and Segmentation
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