Point cloud data processing method and device, storage medium and electronic device
A point cloud data and processing method technology, applied in the field of communication, can solve the problems of long time consumption and low analysis efficiency
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example 1
[0192] Example 1: Partial access to static point clouds based on spatial regions
[0193] This embodiment describes a method for accessing a static 3D point cloud part based on a spatial region, and a method for describing point cloud spatial region information in a media file. For static G-PCC point cloud compressed data that supports partial access based on spatial regions, the point cloud data corresponding to each spatial region supports independent decoding and rendering.
[0194] In this example scenario, four implementation modes are supported:
[0195] Store the complete point cloud data in a single item, describe the Tile division of the point cloud data through the bounding box (Bonding Box) information provided by the block set, and the sub-sample item property (Sub-sample item property), and the terminal can according to user needs Flexible selection of one or more tile sub-samples (Tile Sub-sample) to complete decoding, rendering and other operations;
[0196] T...
example 2
[0264] Example 2: Partial access of static point cloud based on LoD (level of detail)
[0265] This embodiment describes a method for gradually accessing a static 3D point cloud based on Level of Details (LoD), and a method for describing point cloud level information in a media file. For the static G-PCC point cloud compression data that supports progressive access, its geometric data and attribute data can be divided into multiple levels according to the geometric position of the points, and each level is composed of a set of uniformly distributed point sets. The higher the level, the denser the point set, and the richer the details of the point cloud objects that can be observed; the lower the level, the sparser the point set, and the blurrier the details of the point cloud objects that can be observed. After the terminal obtains the point cloud compressed data, it can select the appropriate level for decoding and rendering according to the user's needs, so as to ensure the...
Embodiment approach
[0267] 1) Store the complete point cloud data in a single Item, and describe the hierarchical division of point cloud data through the LoD related parameters described in the SPS and APS parameter sets and the Sub-sample item property attribute information. The terminal can flexibly choose one or more according to user needs. Multiple LoD Sub-sample complete decoding, rendering and other operations;
[0268] 2) Store the point cloud data in multiple point cloud level items (G-PCC Layer Item) according to the different LoD levels. Each Layer Item describes the level value and points through the level detail item property (LoD Description item property), and the terminal can Select one or more Layer Items to complete decoding, rendering, etc.
[0269] The terminal parsing process includes:
[0270] 1) The terminal identifies items containing static point cloud data in the metadata data box according to one of the following item types:
[0271] Point cloud projects: gpcc, gpcg,...
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