Granted Patent B2

US 12,249,106 · App. 17/927,285 · Granted Mar 11, 2025

Inventors: Hyejung Hur (Seoul, KR); Sejin Oh (Seoul, KR)

Assignee: LG ELECTRONICS INC.

G06T9/001G06T9/40H04N19/174H04N19/70

Abstract

Claims (66)

1. A device for processing point cloud data, the device comprising:

one or more processors configured to process point cloud data; and

one or more memories coupled with the one or more processors,

wherein the one or more processors are configured to:

encode a geometry of the point cloud data; and

encode an attribute of the point cloud data based on the encoded geometry,

wherein the geometry indicates positions of points of the point cloud data, and

wherein the attribute indicates at least one of reflectance and color of the points,

wherein the points are predicted based on a predictive tree including nodes of the points,

wherein the predictive tree is generated based on azimuth information for the points,

wherein a bitstream includes information related to the azimuth information for the predictive tree.

2. The device of claim 1 , wherein the encoded geometry and the encoded attribute are output in the bitstream,

wherein the bitstream contains signaling information.

3. The device of claim 2 , wherein the signaling information includes information related to the predictive tree,

wherein the information related to the predictive tree comprises:

first information indicating whether the predictive tree is generated by re-sorting an order of the points based on a content characteristic of the point cloud data; and

second information indicating a method of generating the predictive tree.

4. The device of claim 3 , wherein the information related to the predictive tree is signaled at least one of a sequence level, a tile level, or a slice level of the bitstream.

5. A method of processing point cloud data performed by a device including one or more processors and one or more memories coupled with the one or more processors, the method comprising:

encoding a geometry of the point cloud data; and

encoding an attribute of the point cloud data based on the encoded geometry,

wherein the geometry indicates positions of points of the point cloud data, and

wherein the attribute indicates at least one of reflectance and color of the points,

wherein the points are predicted based on a predictive tree including nodes of the points,

wherein the predictive tree is generated based on azimuth information for the points,

wherein a bitstream includes information related to the azimuth information for the predictive tree.

6. The method of claim 5 , wherein the encoded geometry and the encoded attribute are output in the bitstream,

wherein the bitstream contains signaling information.

7. The method of claim 6 , wherein the signaling information includes information related to the predictive tree,

wherein the information related to the predictive tree comprises:

first information indicating whether the predictive tree is generated by re-sorting an order of the points based on a content characteristic of the point cloud data; and

second information indicating a method of generating the predictive tree.

8. The method of claim 7 , wherein the information related to the predictive tree is signaled at least one of a sequence level, a tile level, or a slice level of the bitstream.

9. A device for processing point cloud data, the device comprising:

one or more processors configured to process point cloud data; and

one or more memories coupled with the one or more processors,

wherein the one or more processors are configured to:

decode a geometry of the point cloud data; and

decode an attribute of the point cloud data based on the decoded geometry,

wherein the geometry indicates positions of points of the point cloud data, and

wherein the attribute indicates at least one of reflectance and color of the points,

wherein the points are predicted based on a predictive tree including nodes of the points,

wherein the predictive tree is generated based on azimuth information for the points,

wherein a bitstream includes information related to the azimuth information for the predictive tree.

10. The device of claim 9 , wherein the point cloud data is received in a form of the bitstream,

wherein the bitstream contains signaling information.

11. The device of claim 10 , wherein the signaling information includes information related to the predictive tree,

wherein the information related to the predictive tree comprises:

first information indicating whether the predictive tree is generated by re-sorting an order of the points based on a content characteristic of the point cloud data; and

second information indicating a method of generating the predictive tree.

12. The device of claim 11 , wherein the information related to the predictive tree is signaled at least one of a sequence level, a tile level, or a slice level of the bitstream.

13. A method of processing point cloud data performed by a device including one or more processors and one or more memories coupled with the one or more processors, the method comprising:

decoding a geometry of the point cloud data; and

decoding an attribute of the point cloud data based on the decoded geometry,

wherein the geometry indicates positions of points of the point cloud data, and

wherein the attribute indicates at least one of reflectance and color of the points,

wherein the points are predicted based on a predictive tree including nodes of the points,

wherein the predictive tree is generated based on azimuth information for the points,

wherein a bitstream includes information related to the azimuth information for the predictive tree.

14. The method of claim 13 , wherein the point cloud data is received in a form of the bitstream,

wherein the bitstream contains signaling information.

15. The method of claim 14 , wherein the signaling information includes information related to the predictive tree,

wherein the information related to the predictive tree comprises:

first information indicating whether the predictive tree is generated by re-sorting an order of the points based on a content characteristic of the point cloud data; and

second information indicating a method of generating the predictive tree.

16. The method of claim 15 , wherein the information related to the predictive tree is signaled at least one of a sequence level, a tile level, or a slice level of the bitstream.

Assignments (1)

Priority Claims (1)

Continuity (1)

References Cited (16)