Sparse 3D convolutional neural networks 论文

2015引用 232
Human Pose and Action Recognition3D Shape Modeling and AnalysisAdvanced Neural Network Applications

摘要

We have implemented a convolutional neural network designed for processing sparse three-dimensional input data. The world we live in is three dimensional so there are a large number of potential applications including 3D object recognition and analysis of space-time objects. In the quest for efficiency, we experiment with CNNs on the 2D triangular-lattice and 3D tetrahedral-lattice.