Granted Patent B2

US 12,532,027 · App. 18/529,451 · Granted Jan 20, 2026

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

Assignee: LG ELECTRONICS INC.

H04N19/597H04N19/132H04N19/136H04N19/167H04N19/96H04N19/90

Abstract

Claims (49)

1 . A method comprising:

decoding positions of points from geometry data; and

decoding attributes of the points from attribute data based on levels of detail including a first level and a second level,

wherein the points are sorted based on a Morton code,

wherein the first level is generated based on selecting a point in points of the second level, and

based on the second level being odd, wherein the selected point is a point with a greatest point index of the second level, or

based on the second level being even, wherein the selected point is a point with a lowest point index of the second level.

2 . The method of claim 1 ,

wherein the decoding the attributes of the points includes:

changing a location value of points of the point cloud data into a Morton code based on the geometry data and the attribute data,

arranging the points based on the Morton code,

decoding the points from the levels of detail.

3 . A device comprising:

a memory; and

at least one processor connected to the memory, the at least one processor configured to:

receive a bitstream including geometry data and attribute data;

decode positions of points from the geometry data; and

decode attributes of the points from the attribute data based on levels of detail including a first level and a second level,

wherein the points are sorted based on a Morton code,

wherein the first level is generated based on selecting a point in points of the second level, and

based on the second level being odd, wherein the selected point is a point with a greatest point index of the second level, or

based on the second level being even, wherein the selected point is a point with a lowest point index of the second level.

4 . The apparatus of claim 3 ,

wherein the at least one processor further configured to:

change a location value of points of the point cloud data into a Morton code based on the geometry data and the attribute data,

arrange the points based on the Morton code,

decode the points from the levels of detail.

5 . A method comprising:

encoding positions of points to geometry data; and

encoding attributes of the points to attribute data based on levels of detail including a first level and a second level,

wherein the points are sorted based on a Morton code,

wherein the first level is generated based on selecting a point in points of the second level, and

based on the second level being odd, wherein the selected point is a point with a greatest point index of the second level, or

based on the second level being even, wherein the selected point is a point with a lowest point index of the second level.

6 . The method of claim 5 ,

wherein the encoding the attributes of the points includes:

changing a location value of points of the point cloud data into a Morton code based on the geometry data and the attribute data,

arranging the points based on the Morton code,

encoding the points from the levels of detail.

7 . A device comprising:

a memory; and

at least one processor connected to the memory, the at least one processor configured to:

encode positions of points to geometry data;

to encode attributes of the points to attribute data based on levels of detail including a first level and a second level, and

transmit a bitstream including the geometry data and the attribute data,

wherein the points are sorted based on a Morton code,

wherein the first level is generated based on selecting a point in points of the second level, and

based on the second level being odd, wherein the selected point is a point with a greatest point index of the second level, or

based on the second level being even, wherein the selected point is a point with a lowest point index of the second level.

Assignments (1)

Continuity (5)

References Cited (23)