IP Library Granted Patent US 12,354,310
Granted Patent B2
US 12,354,310 · App. 18/024,951 · Granted Jul 8, 2025

Point cloud data transmission device, point cloud data transmission method, point cloud data reception device, and point cloud data reception method

Inventors: Yousun Park (Seoul, KR); Sejin Oh (Seoul, KR); Hyejung Hur (Seoul, KR)
Assignee: LG ELECTRONICS INC.
G06T9/001
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,354,310
App. No.
18/024,951
Granted
Jul 8, 2025
Kind
B2
Abstract

A point cloud data transmission method, according to embodiments, may comprise the steps of: encoding point cloud data; and transmitting a bitstream including the point cloud data. In addition, a point cloud data transmission device, according to embodiments, may comprise: an encoder for encoding point cloud data; and a transmitter for transmitting a bitstream including the point cloud data.

Claims (59)

1. A point cloud data encoding method by an encoder, comprising:

encoding geometry data of the point cloud data;

encoding attribute data of the point cloud data; and

transmitting a bitstream including the point cloud data,

wherein points for the point cloud data are partitioned into a road and an object,

wherein the bitstream includes information for representing a method for the partitioning the point cloud data,

wherein the object is partitioned based on a block including a number of points on an axis,

wherein the bitstream further includes information related to the block.

2. The point cloud data transmission method of claim 1 , further comprising:

partitioning the point cloud data into objects; and

adjusting an offset of the point cloud data partitioned into the objects.

3. The point cloud data transmission method of claim 2 , wherein the partitioning the point cloud data into the objects includes

partitioning the point cloud data into the objects based on the attribute data of the point cloud data.

4. The point cloud data transmission method of claim 2 , wherein the partitioning the point cloud data into the objects includes

partitioning the point cloud data into the objects based on the geometry data of the point cloud data.

5. The point cloud data transmission method of claim 2 , wherein the partitioning the point cloud data into the objects includes

partitioning the point cloud data into the objects based on an instantaneous value of change of geometry data or attribute data of points.

6. The point cloud data transmission method of claim 2 , wherein adjusting the offset of the point cloud data partitioned into the objects includes

adjusting the offset of the point cloud data corresponding to each object to arrange the point cloud data close to each other.

7. A point cloud data transmission device, comprising:

an encoder configured to encode geometry data of the point cloud data,

encode attribute data of the point cloud data; and

a transmitter configured to transmit a bitstream including the point cloud data,

wherein points for the point cloud data are partitioned into a road and an object,

wherein the bitstream includes information for representing a method for the partitioning the point cloud data,

wherein the object is partitioned based on a block including a number of points on an axis,

wherein the bitstream further includes information related to the block.

8. The point cloud data transmission device of claim 7 , wherein the encoder partitions the point cloud data into the objects based on attribute data of the point cloud data.

9. The point cloud data transmission device claim 7 , wherein the encoder partitions the point cloud data into the objects based on geometry data of the point cloud data.

10. The point cloud data transmission device of claim 7 , wherein the encoder partitions the point cloud data into the objects based on an instantaneous value of change of geometry data or attribute data of points.

11. The point cloud data transmission device of claim 7 , wherein the encoder adjusts the offset of the point cloud data corresponding to each object to arrange the point cloud data close to each other.

12. A point cloud data decoding method by a decoder, comprising:

receiving a bitstream including point cloud data;

decoding geometry data of the point cloud data;

decoding attribute data of the point cloud data; and

rendering the point cloud data,

wherein points for the point cloud data are partitioned into a road and an object,

wherein the bitstream includes information for representing a method for the partitioning the point cloud data,

wherein the object is partitioned based on a block including a number of points on an axis,

wherein the bitstream further includes information related to the block.

13. The point cloud data reception method of claim 12 ,

wherein the bitstream includes point cloud data in which points are partitioned into objects and for which an offset is adjusted, and

wherein the method further includes arranging the points which are partitioned into objects and for which an offset is adjusted.

14. The point cloud data reception method of claim 13 , wherein the bitstream includes the point cloud data partitioned into the objects based on attribute data of the point cloud data.

15. The point cloud data reception method of claim 13 , wherein the bitstream includes the point cloud data partitioned into the objects based on geometry data of the point cloud data.

16. The point cloud data reception method of claim 13 , wherein the bitstream includes the point cloud data partitioned into the objects based on an instantaneous value of change of geometry data or attribute data of the points.

17. A point cloud data reception device, comprising:

a receiver configured to receive a bitstream including point cloud data;

a decoder configured to decode geometry data of the point cloud data,

decode attribute data of the point cloud data; and

a renderer configured to render the point cloud data, wherein points for the point cloud data are partitioned into a road and an object,

wherein the bitstream includes information for representing a method for the partitioning the point cloud data,

wherein the object is partitioned based on a block including a number of points on an axis,

wherein the bitstream further includes information related to the block.

18. The point cloud data reception device of claim 17 , wherein the bitstream includes the point cloud data in which points are partitioned into objects and for which an offset is adjusted to arrange the point cloud data close to each other.

19. The point cloud data reception device of claim 18 , wherein the bitstream includes the point cloud data partitioned into the objects based on attribute data of the point cloud data.

20. The point cloud data reception device of claim 18 , wherein the bitstream includes the point cloud data partitioned into the objects based on geometry data of the point cloud data.

21. The point cloud data reception device of claim 18 , wherein the bitstream includes the point cloud data partitioned into the objects based on an instantaneous value of change of geometry data or attribute data of the points.

22. The point cloud data reception device of claim 18 , further comprising an object offset inverse arranger configured to arrange the offset-adjusted point cloud data based on offset information.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 6, 2023
From: PARK, YOUSUN; OH, SEJIN; HUR, HYEJUNG
To: LG ELECTRONICS INC.
Reel/Frame 062896/0711 →
Priority Claims (1)
KR 10-2020-0114035 · Sep 7, 2020 · national
Continuity (1)
Related Publication 20240029311A1 · Jan 25, 2024
References Cited (24)
US 11217037B2 · Park · 2022 [cited by examiner]
US 11803986B2 · Hur · 2023 [cited by examiner]
US 11895341B2 · Oh · 2024 [cited by examiner]
US 11902348B2 · Hur · 2024 [cited by examiner]
US 20180158235A1 · Wu · 2018 [cited by examiner]
US 20190156519A1 · Mammou et al. · 2019 [cited by applicant]
US 20210104075A1 · Mammou · 2021 [cited by examiner]
US 20210400103A1 · Hur · 2021 [cited by examiner]
US 20220222863A1 · Han · 2022 [cited by examiner]
US 20220239956A1 · Tourapis · 2022 [cited by examiner]
US 20220262043A1 · Nakagami · 2022 [cited by examiner]
US 20220353531A1 · Hur · 2022 [cited by examiner]
US 20230154052A1 · Oh · 2023 [cited by examiner]
US 20230206510A1 · Hur · 2023 [cited by examiner]
US 20230232042A1 · Hur · 2023 [cited by examiner]
US 20230239501A1 · Oh · 2023 [cited by examiner]
US 20230360273A1 · Oh · 2023 [cited by examiner]
US 20230388557A1 · Oh · 2023 [cited by examiner]
US 20230394712A1 · Park · 2023 [cited by examiner]
US 20240163426A1 · Oh · 2024 [cited by examiner]
KR 1020200039757A · 2020 [cited by applicant]
KR 1020200065076A · 2020 [cited by applicant]
KR 1020200069289A · 2020 [cited by applicant]
WO 2019197708A1 · 2019 [cited by applicant]