Flexible tree partition and representation for point cloud coding
A method of decoding encoded information of a point cloud may be performed by at least one processor and comprises: obtaining an encoded bitstream, the encoded bitstream including encoded information of a point cloud including a set of points in a three-dimensional space; and determining a type of partitioning used to encode the information of the point cloud by at least one of parsing signals of at least three binary syntaxes or inferring at least one syntax of the at least three binary syntaxes.
1. A method of decoding encoded information of a point cloud, the method performed by at least one processor and comprising:
obtaining an encoded bitstream, the encoded bitstream including encoded information of a point cloud including a set of points in a three-dimensional space; and
determining a type of partitioning used to encode the information of the point cloud by at least one of parsing signals of at least three binary syntaxes or inferring at least one syntax of the at least three binary syntaxes.
2. The method of claim 1 , wherein the at least three binary syntaxes indicate whether partitioning is applied on X, Y, and Z axes.
3. The method of claim 1 , further comprising:
obtaining a node size of an object of the partitioned point cloud,
wherein the determining the type of partitioning is performed by inferring the at least three binary syntaxes based on the node size of the object.
4. The method of claim 1 , wherein the determining the type of partitioning is performed by at least one of the following further operations: parsing signals of two additional binary syntaxes and inferring the additional binary syntaxes.
5. The method of claim 4 , wherein the additional binary syntaxes indicate whether the type of partitioning is symmetric and the partition ratio of the type of partitioning if the type of partitioning is asymmetric.
6. The method of claim 4 , further comprising:
obtaining a node size of an object of the partitioned point cloud,
wherein the determining the type of partitioning is performed by inferring the at least three binary syntaxes based on the node size of the object.
7. The method of claim 4 , further comprising:
obtaining a node shape of an object of the partitioned point cloud,
wherein the determining the type of partitioning is performed by inferring the at least three binary syntaxes based on the node shape of the object.
8. The method of claim 1 , wherein the type of partitioning of the point cloud is selected using the following formula:
p
^
=
arg
min
p
{
D
(
p
)
+
λ
·
R
(
p
)
}
wherein where p indicates a tree partition mode, D(p) is a distortion function, R(p) is a rate function, λ is a Laplacian coefficient, and {circumflex over (p)} is a tree partition mode.
9. The method of claim 1 , wherein the determining the type of partitioning is performed by parsing one of the at least three binary syntaxes and inferring two of the at least three binary syntaxes.
10. The method of claim 1 , wherein the determining the type of partitioning includes inferring a partitioning type of a descendant node of the partitioned point cloud.
11. An apparatus for coding information of a point cloud, the apparatus comprising:
at least one memory configured to store program code; and
at least one processor configured to access the at least one memory and operate according to the computer program code, the computer program code comprising:
first obtaining code configured to obtain an encoded bitstream, the encoded bitstream including encoded information of a point cloud including a set of points in a three-dimensional space; and
determining code configured to determine a type of partitioning used to encode the information of the point cloud by at least one of parsing signals of at least three binary syntaxes or inferring at least one syntax of the at least three binary syntaxes.
12. The apparatus of claim 11 , wherein the at least three binary syntaxes indicate whether partitioning is applied on X, Y, and Z axes.
13. The apparatus of claim 11 , wherein the computer program code further comprises:
second obtaining code configured to obtain a node size of an object of the partitioned point cloud,
wherein the determining code is further configured to determine the type of partitioning by inferring the at least three binary syntaxes based on the node size of the object.
14. The apparatus of claim 11 , wherein the determining code is further configured to determine the type of partitioning by at least one of the following operations: parsing signals of two additional binary syntaxes and inferring the additional binary syntaxes.
15. The apparatus of claim 14 , wherein the additional binary syntaxes indicate whether the type of partitioning is symmetric and the partition ratio of the type of partitioning if the type of partitioning is asymmetric.
16. The apparatus of claim 14 , wherein the computer program code further comprises:
second obtaining code configured to obtain a node size of an object of the partitioned point cloud,
wherein the determining code is configured to determine the type of partitioning by inferring the at least three binary syntaxes based on the node size of the object.
17. The apparatus of claim 14 , wherein the computer program code further comprises: second obtaining code configured to obtain a node shape of an object of the partitioned point cloud,
wherein the determining the type of partitioning is performed by inferring the at least three binary syntaxes based on the node shape of the object.
18. The apparatus of claim 11 , wherein the type of partitioning of the point cloud is selected using the following formula:
p
^
=
arg
min
p
{
D
(
p
)
+
λ
·
R
(
p
)
}
wherein where p indicates a tree partition mode, D(p) is a distortion function, R(p) is a rate function, λ is a Laplacian coefficient, and {circumflex over (p)} is a tree partition mode.
19. The apparatus of claim 11 , wherein the determining code is configured to determine the type of partitioning by parsing one of the at least three binary syntaxes and inferring two of the at least three binary syntaxes.
20. A non-transitory computer-readable storage medium storing instructions that cause at least one processor to:
obtain an encoded bitstream, the encoded bitstream including encoded information of a point cloud including a set of points in a three-dimensional space; and
determine a type of partitioning used to encode the information of the point cloud by at least one of parsing signals of at least three binary syntaxes or inferring at least one syntax of the at least three binary syntaxes.