CONVOLUTIONAL NEURAL NETWORK BASED ON OCTREE Russian patent published in 2022 - IPC G06N3/04 G06F17/10 

Abstract RU 2767162 C2

FIELD: computer technology.

SUBSTANCE: invention relates to the field of computer technology for image processing. An input is received, containing an octree, which is a three-dimensional shape, nodes of the octree include empty nodes and non-empty nodes, wherein empty nodes exclude the three-dimensional shape and are leaf nodes of the octree, and non-empty nodes include part of the three-dimensional shape; and for nodes in the octree with depth d associated with a convolution layer of a convolutional neural network, the convolution operation of the mentioned convolution layer is performed to obtain an output of this convolution layer, wherein the output contains a map of three-dimensional shape features obtained by performing the convolution operation on nodes with d-depth in the input.

EFFECT: acceleration of the display of a three-dimensional shape/graphics in real time.

15 cl, 9 dwg

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RU 2 767 162 C2

Authors

Wang, Pengshuai

Liu, Yang

Tong, Xin

Dates

2022-03-16Published

2018-04-20Filed