Point cloud data processing device and processing method
A point cloud data processing method according to embodiments can encode and transmit point cloud data. A point cloud data processing method according to embodiments can receive and decode point cloud data.
1. A device for encoding point cloud data, the device comprising:
an encoder configured to encode a geometry data based on a predictive tree,
wherein the predictive tree is generated by sorting points of the geometry based on at least one of an azimuth or a Morton order for the points,
encode an attribute of the point cloud data based on the geometry; and
a transmitter configured to transmit a bitstream including the geometry and the attribute,
wherein the bitstream further includes method information for representing a method related to the predictive tree, and direction information for representing a direction related to prediction.
2. The device of claim 1 ,
wherein the bitstream includes type information indicating a sorting type of the points,
wherein the information indicating the method for generating the predictive tree corresponds to at least one of a method of generating the predictive tree based on a sorting order of the points, a method of generating the predictive tree based on an influence based on a distance between the points, a method of generating the predictive tree based on an influence based on attribute similarity between the points, a method of generating the predictive tree based on an N-th position in the sorting order of the points, or a method of generating the predictive tree based on a center position in the sorting order of the points.
3. The device of claim 2 , 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.
4. A method of encoding point cloud data by a device, the method comprising:
encoding a geometry of the point cloud data based on a predictive tree,
wherein the predictive tree is generated by sorting points of the geometry based on at least one of an azimuth or a Morton order for the points;
encoding an attribute of the point cloud data based on the geometry; and
transmitting a bitstream including the geometry and the attribute,
wherein the bitstream further includes method information for representing a method related to the predictive tree, and direction information for representing a direction related to prediction.
5. The method of claim 4 ,
wherein the signaling information the bitstream includes type information indicating a sorting type of the points,
wherein the information indicating the method for generating the predictive tree corresponds to at least one of a method of generating the predictive tree based on a sorting order of the points, a method of generating the predictive tree based on an influence based on a distance between the points, a method of generating the predictive tree based on an influence based on attribute similarity between the points, a method of generating the predictive tree based on an N-th position in the sorting order of the points, or a method of generating the predictive tree based on a center position in the sorting order of the points.
6. The method of claim 5 , 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.
7. A device for decoding point cloud data, the device comprising:
a receiver configured to receive a bitstream including a geometry and an attribute; and
a decoder configured to decode the geometry based on a predictive tree,
wherein the predictive tree is generated by sorting points of the geometry based on at least one of an azimuth or a Morton order for the points; and
decode an attribute of the point cloud data based on the geometry,
wherein the bitstream further includes method information for representing a method related to the predictive tree, and direction information for representing a direction related to prediction.
8. The device of claim 7 ,
wherein the signaling information includes type information indicating a sorting type of the points,
wherein the information indicating the method for generating the predictive tree corresponds to at least one of a method of generating the predictive tree based on a sorting order of the points, a method of generating the predictive tree based on an influence based on a distance between the points, a method of generating the predictive tree based on an influence based on attribute similarity between the points, a method of generating the predictive tree based on an N-th position in the sorting order of the points, or a method of generating the predictive tree based on a center position in the sorting order of the points.
9. The device of claim 8 , 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.
10. A method of decoding point cloud data by a device, the method comprising:
receiving a bitstream including a geometry and an attribute;
decoding a geometry of the point cloud data based on a predictive tree,
wherein the predictive tree is generated by sorting points of the geometry based on at least one of an azimuth or a Morton order for the points; and
decoding an attribute of the point cloud data based on the geometry,
wherein the bitstream further includes method information for representing a method related to the predictive tree, and direction information for representing a direction related to prediction.
11. The method of claim 10 ,
wherein the signaling information includes: type information indicating a sorting type of the points,
wherein the information indicating the method for generating the predictive tree corresponds to at least one of a method of generating the predictive tree based on a sorting order of the points, a method of generating the predictive tree based on an influence based on a distance between the points, a method of generating the predictive tree based on an influence based on attribute similarity between the points, a method of generating the predictive tree based on an N-th position in the sorting order of the points, or a method of generating the predictive tree based on a center position in the sorting order of the points.
12. The method 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.