Techniques and apparatus for explicit quad-tree and binary-tree partitioning for geometry coding
A method of point cloud attribute coding is performed by at least one processor and includes receiving a point cloud data set comprising a bounding box. A determination is made as to whether the bounding box is symmetric or asymmetric. A quad-tree-binary-tree (QtBt) decomposition is performed on the point cloud data set based on the bounding box being asymmetric.
1. A method of point cloud attribute decoding, the method being performed by at least one processor, and the method comprising:
receiving encoded video data of a point cloud data set comprising a bounding box;
determining whether the bounding box is symmetric or asymmetric; and
decoding the video data according to a quad-tree-binary-tree (QtBt) decomposition on the point cloud data set based on the bounding box being asymmetric and on whether a split is determined to occur along each of x, y, and z axes associated with the point cloud data set based on a qtbt_enabled flag associated with the video data being set to 1,
wherein based on a node decomposition level being 0, the QtBt decomposition is implicitly applied to the point cloud data set.
2. The method of claim 1 , further comprising determining a value of an asymmetric_bbox_enabled flag, and wherein the asymmetric_bbox_enabled flag is set to 1 based on the bounding box being asymmetric.
3. The method of claim 2 , wherein based on the asymmetric_bbox_enabled flag being set to 1, the QtBt decomposition is implicitly applied to the point cloud data set when a node decomposition level is 0.
4. The method of claim 2 , wherein based on the asymmetric_bbox_enabled flag being set to 0, octree decomposition is applied to the point cloud data set.
5. The method of claim 2 , wherein enabling or disabling of explicit split-decision signaling is based on the qtbt_enabled flag.
6. An apparatus for interframe point cloud attribute decoding, the apparatus comprising:
at least one memory configured to store computer 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:
receiving code configured to cause the at least one processor to receive encoded video data of a point cloud data set comprising a bounding box;
determining code configured to cause the at least one processor to determine whether the bounding box is symmetric or asymmetric; and
decoding code configured to cause the at least one processor to decode the video data according to a quad-tree-binary-tree (QtBt) decomposition on the point cloud data set based on the bounding box being asymmetric and on whether a split is determined to occur along each of x, y, and z axes associated with the point cloud data set based on a qtbt_enabled flag associated with the video data being set to 1,
wherein based on a node decomposition level being 0, the QtBt decomposition is implicitly applied to the point cloud data set.
7. The computer system of claim 6 , further comprising determining code configured to cause the at least one processor to determine a value of an asymmetric_bbox_enabled flag, and wherein the asymmetric_bbox_enabled flag is set to 1 based on the bounding box being asymmetric.
8. The computer system of claim 7 , wherein based on the asymmetric_bbox_enabled flag being set to 1, the QtBt decomposition is implicitly applied to the point cloud data set when a node decomposition level is 0.
9. The computer system of claim 7 , wherein based on the asymmetric_bbox_enabled flag being set to 0, octree decomposition is applied to the point cloud data set.
10. The computer system of claim 7 , wherein enabling or disabling of explicit split-decision signaling is based on the qtbt_enabled flag.
11. A non-transitory computer-readable storage medium storing instructions that cause at least one processor to:
receive encoded video data of a point cloud data set comprising a bounding box;
determine whether the bounding box is symmetric or asymmetric; and
decoding the video data according to a quad-tree-binary-tree (QtBt) decomposition on the point cloud data set based on the bounding box being asymmetric and on whether a split is determined to occur along each of x, y, and z axes associated with the point cloud data set based on a qtbt_enabled flag associated with the video data being set to 1,
wherein based on a node decomposition level being 0, the QtBt decomposition is implicitly applied to the point cloud data set.
12. The computer readable medium of claim 11 , further comprising instructions that cause the at least one processor to determine a value of an asymmetric_bbox_enabled flag, and wherein the asymmetric_bbox_enabled flag is set to 1 based on the bounding box being asymmetric.
13. The computer readable medium of claim 12 , wherein based on the asymmetric_bbox_enabled flag being set to 1, the QtBt decomposition is implicitly applied to the point cloud data set when a node decomposition level is 0.
14. The computer readable medium of claim 12 , wherein based on the asymmetric_bbox_enabled flag being set to 0, octree decomposition is applied to the point cloud data set.
15. The computer readable medium of claim 12 , wherein enabling or disabling of explicit split-decision signaling is based on the qtbt_enabled flag.