Point Cloud Geometry Syntax for Unique Slice ID Decoding
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Solution Overview
Problem
Existing G-PCC standards lack restrictions on slice IDs, leading to potential ambiguities and decoding errors due to identical IDs assigned to geometry slices with different content.
Innovation Solution
Implementing a system to ensure unique slice IDs for geometry slices by defining explicit slice bounding boxes and associated scale factors, thereby preventing decoding errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If point cloud data is compressed using traditional video coding standards, then file size is reduced, but compression efficiency is insufficient for unstructured 3D spatial data
Solution Approach 1:
The patent transforms point cloud data from raw XYZ coordinates into a hierarchical structure with explicit spatial relationships. By changing the data representation parameters from simple coordinates to structured syntax elements including occupancy grids and geometry primitives, the system achieves both compression efficiency and spatial accuracy preservation
2Manufacturing precision
If complex geometry representation is used to preserve spatial accuracy, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
The patent segments the point cloud data into hierarchical levels (occupancy grids at different resolutions, geometry primitives, attribute groups). This segmentation allows complex spatial relationships to be represented through simple, modular syntax elements that can be processed efficiently without losing accuracy
Solution Approach 2:
The patent adds a hierarchical dimension to the data structure by organizing points into occupancy grids at multiple resolution levels. This dimensional transformation allows complex 3D spatial relationships to be represented through layered simplification, reducing overall structure complexity while preserving essential geometric accuracy
3Ease of operation
If traditional video coding syntax is applied to point cloud data, then ease of operation is maintained, but compression performance deteriorates
Solution Approach 1:
The patent creates a universal syntax structure that can handle both traditional video coding requirements and point cloud-specific spatial relationships. The hierarchical occupancy grid system serves multiple functions: compression, spatial relationship preservation, and multi-resolution rendering, thereby improving compression performance without sacrificing coding simplicity
Data Source
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AI summary
An example device for decoding point cloud data includes memory configured to store the point cloud data and one or more processors implemented in circuitry and coupled to the memory. The one or more processors are configured to determine dimensions of a region box and determine dimensions of a slice bounding box. The one or more processors are also configured to decode a slice of the point cloud data associated with the slice bounding box. The dimensions of the region box are constrained to not exceed the dimensions of the slice bounding box.