End-to-end learning-based point cloud attribute coding framework
AssigneeInterDigital VC Holdings, Inc.
InventorsYuning HUANG, Muhammad Asad LODHI, Jiahao PANG, Junghyun AHN, Dong TIAN
Life of this patent
Estimating the term…
Loading patent…
AssigneeInterDigital VC Holdings, Inc.
InventorsYuning HUANG, Muhammad Asad LODHI, Jiahao PANG, Junghyun AHN, Dong TIAN
Estimating the term…
In one implementation, a method of decoding point cloud data is presented, comprising: decoding features representing voxel attributes in an octree structure, wherein a decoded feature for a current voxel is representative of at least a set of voxels that are still to be reconstructed; determining an attribute probability of the current voxel based on the decoded feature for the current voxel; decoding attribute information of voxels in the octree structure, wherein the attribute information for the current voxel is decoded based on the attribute probability for the current voxel; and reconstructing the point cloud based on the attribute information of voxels in the octree structure. On the encoder side, the features are extracted and encoded into the bitstream.
A method of decoding point cloud data, comprising:
A method of encoding point cloud data, comprising:
An apparatus for decoding point cloud data, comprising one or more processors and at least one memory coupled to the one or more processors, wherein the one or more processors are configured to:
An apparatus for encoding point cloud data, comprising one or more processors and at least one memory coupled to the one or more processors, wherein the one or more processors are configured to:
Dependencies are inferred from the claim text.