Sorted Laser Angles for G-PCC Point Cloud Compression
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Solution Overview
Problem
The existing Geometry-based Point Cloud Compression (G-PCC) standard faces inefficiencies in coding and decoding due to the unsorted ordering of laser angles, which increases processing time and complexity, particularly in decoding processes.
Innovation Solution
The proposed solution involves encoding and decoding point cloud data using laser angles in a sorted order, adhering to specific constraints such as ascending or descending order, to facilitate faster and more efficient coding tools that avoid decoder-side sorting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If laser angles are encoded in unsorted order, then the encoding process is simpler, but decoding time and complexity increase
Solution Approach 1:
The encoder performs preliminary sorting of laser angles before encoding them into the bitstream. This preliminary action ensures that the angles are already in sorted order when received by the decoder, eliminating the need for time-consuming sorting operations during decoding and thus resolving the contradiction between encoding simplicity and decoding time
2Productivity
If laser angles are sorted before encoding, then decoding efficiency improves, but encoding complexity increases
Solution Approach 1:
The sorting operation is performed as part of the standard encoding process, making the encoder self-sufficient to prepare data in the required format. By integrating sorting into the encoding workflow, the system avoids the need for separate post-processing steps and reduces overall system complexity despite the added sorting operation
3Adaptability or versatility
If decoder-side sorting is performed, then flexibility is maintained, but processing speed decreases
Solution Approach 1:
The sorting operation is moved from the decoder side to the encoder side as a preliminary action. This ensures that the data is prepared in the required sorted format before transmission, eliminating the need for sorting operations during decoding and significantly improving processing speed while maintaining flexibility through the encoded bitstream
Data Source
AI summary
Point clouds may be coded using a plurality of laser angles. In one example, a video coder may be configured to code a plurality of syntax elements that indicate respective values of a plurality of laser angles in a sorted order according to a constraint.