US 2023/0419554 A1 · POINT CLOUD ATTRIBUTE ENCODING METHOD, DECODING METHOD, ENCODING DEVICE, AND DECODING DEVICE

Abstract

A point cloud attribute encoding method, a decoding method, an encoding device and a decoding device are disclosed, the point cloud attribute encoding method including: constructing an N-layer binary tree by partitioning a target point cloud according to positions of points within the point cloud, N being an integer greater than 1; for a target node at layer P of the binary tree, obtaining child nodes of the target node, determining a first attribute coefficient and second attribute coefficients of the target node by transforming first attribute coefficients of the child nodes, P being an integer greater than or equal to 1 and less than or equal to N−1; using the first attribute coefficient of a root node and the second attribute coefficients of each target node in the binary tree as output coefficients of the point cloud attribute encoding method.

Claims23

Dependent claims

A point cloud attribute encoding method, comprising:

constructing an N-layer binary tree by partitioning a target point cloud according to positions of points within the point cloud, N being an integer greater than 1;
for a target node at layer P of the binary tree, obtaining child nodes of the target node, determining a first attribute coefficient and second attribute coefficients of the target node by transforming first attribute coefficients of the child nodes, P being an integer greater than or equal to 1 and less than or equal to N−1;
using the first attribute coefficient of a root node and the second attribute coefficients of each target node in the binary tree as output coefficients of the point cloud attribute encoding method, wherein the first attribute coefficient of each leaf node in the binary tree is a point cloud attribute value of the leaf node, and the leaf node has no second attribute coefficient.

A point cloud attribute decoding method, comprising:

constructing an N-layer binary tree by partitioning a target point cloud according to positions of points within the point cloud, N being an integer greater than 1;
decoding bitstream of the point cloud to obtain transform coefficients of the point cloud;
for layer 1 of the N-layer binary tree, inversely transforming the transform coefficients decoded from the bitstream as reconstructed input coefficients of the inverse transform to obtain reconstructed output coefficients of the current layer;
for layer 2 to layer N−1 of the N-layer binary tree, inversely transforming the reconstructed output coefficients from a previous layer and the transform coefficients decoded from the bitstream as the reconstructed input coefficients of the inverse transform to obtain the reconstructed output coefficients of the current layer;
determining reconstructed attribute values of the point cloud being the reconstructed coefficients of all leaf nodes.

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Dependencies are inferred from the claim text.

Point cloud attribute encoding method, decoding method, encoding device, and decoding device

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Point cloud attribute encoding method, decoding method, encoding device, and decoding device

Life of this patent

Abstract

Claims23