Point Cloud Codec Reconstruction Using Bounding Box Constraints
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Solution Overview
Problem
The relationship between the number of points and the size of the bounding box in existing point cloud encoding and decoding frameworks is not defined, leading to instability and reduced robustness of the codec.
Innovation Solution
A method is provided to determine the size of a bounding box and the number of points in a current node, ensuring they meet a preset condition before reconstruction or encoding, and include specific syntax elements in the bitstream to indicate these parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the relationship between the number of points and the size of the bounding box is not defined in existing encoding and decoding processes, then the encoding and decoding can be performed independently without constraints, but the robustness and stability of the codec cannot be ensured
Solution Approach 1:
The patent changes the parameter relationship by establishing a defined relationship between the number of points and the size of the bounding box. Specifically, it introduces a constraint where the number of points is determined based on the bounding box size, transforming an unconstrained parameter relationship into a constrained one, thereby ensuring codec robustness and stability while maintaining manageable complexity
2Productivity
If coordinate transformation and preprocessing are performed on the point cloud before encoding, then the point cloud can be organized into a bounding box for structured encoding, but the processing time and computational complexity increase
Solution Approach 1:
The patent applies preliminary action by performing coordinate transformation and preprocessing operations before the main encoding process. The point cloud undergoes coordinate transformation to be organized into a bounding box, and duplicate points are removed in advance, so that the subsequent encoding process can operate on pre-organized data, improving overall encoding efficiency despite the initial processing time investment
Data Source
AI summary
The embodiments of the present application disclose an encoding/decoding method, a code stream, an encoder, a decoder, and a storage medium, the method includes: determining the bounding box volume of a current node, and determining the number of points of the current node; and when it is determined that the bounding box volume and the number of points of the current node meet a preset condition, reconstructing the current node to determine a reconstructed point cloud of the current node.