File format for point cloud data
AssigneeZte Corporation
InventorCheng Huang
Life of this patent
Estimating the term…
Abstract
A method of point cloud data processing includes determining a 3D region of a point cloud data and a 2D region of a point cloud track patch frame onto which one or more points of the point cloud data are projected; and reconstructing, based on patch frame data of the a point cloud track included in the 2D region and video frame data of corresponding point cloud component tracks, the 3D region of the point cloud data.
Claims17
A method of point cloud data processing, comprising:
- determining a 3D region of a point cloud data;
- determining a 2D region of a point cloud track patch frame, wherein one or more points in the point cloud data of the 3D region are projected into the 2D region,
- wherein the 2D region is generated based on at least one of the following division principles:
- 1) defining the 2D region based on a patch position on the point cloud track patch frame 2) defining the 2D region based on a tile position on the point cloud track patch frame or 3) defining the 2D region based on a tile group position on the point cloud track patch frame;
- identifying a first box in the point cloud track according to a specific box type, wherein the first box indicates that the 2D region contains patch data for reconstructing the 3D region of the point cloud data;
- identifying a second box in the point cloud track according to the specific box type, wherein the second box indicates that the 2D region contains 2D tile data of the 3D region of the point cloud data;
- and
- reconstructing, from patch frame data included in the 2D region and video frame data of corresponding point cloud component tracks, the 3D region of the point cloud data.
A method of point cloud data processing, comprising:
- determining a 3D region of a point cloud data;
- determining a point cloud component track group corresponding to the 3D region;
- identifying a first box in the point cloud component track according to a specific track group type, the first box indicating the 3D region of the point cloud data corresponding to the point cloud component track group;
- wherein, the first box of point data component tracks corresponding to the same 3D region of the point cloud data have the same track group identity;
- and
- reconstructing, based on video frame data from point cloud component tracks in the point cloud component track group and corresponding point cloud track patch frame data, the 3D region of the point cloud data, wherein the video frame data comprises at least one of 1) decoded geometry video frames, 2) decoded attribute video frames, 3) decoded occupancy map video frames, 4) a block to patch mapping information or 5) a frame index in output order.
A video processing apparatus comprising a processor configured to implement a method of point cloud data processing, comprising:
- determining a 3D region of a point cloud data;
- determining a 2D region of a point cloud track patch frame onto which, wherein one or more points in the point cloud data of the 3D region are projected into the 2d region,
- wherein the 2D region is generated based on at least one of the following division principles:
- 1) defining the 2D region based on a patch position on the point cloud track patch frame 2) defining the 2D region based on a tile position on the point cloud track patch frame or 3) defining the 2D region based on a tile group position on the point cloud track patch frame;
- identifying a first box in the point cloud track according to a specific box type, wherein the first box indicates that the 2D region contains patch data for reconstructing the 3D region of the point cloud data;
- identifying a second box in the point cloud track according to the specific box type, wherein the second box indicates that the 2D region contains 2D tile data of the 3D region of the point cloud data;
- and
- reconstructing, from patch frame data included in the 2D region and video frame data of corresponding point cloud component tracks, the 3D region of the point cloud data.
Dependencies are inferred from the claim text.