Mesh Data Encoding with V-Mesh for Low-Latency Point Cloud Delivery
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Generating and transmitting point cloud data is challenging due to its large volume and the high latency and encoding/decoding complexity involved.
Innovation Solution
A method for encoding and decoding mesh data using Video-based Dynamic Mesh (V-Mesh) compression, which includes pre-processing, intra-frame and inter-frame encoding, and decoding processes to efficiently transmit and receive point cloud data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If point cloud data is transmitted using traditional methods, then data transmission can be achieved, but the latency is high and encoding/decoding complexity is large
Solution Approach 1:
The patent segments point cloud data into multiple layers including occupancy maps, depth maps, and attribute data. Each layer is processed and transmitted separately through optimized encoding schemes, reducing overall latency and complexity while maintaining reconstruction quality
Solution Approach 2:
The patent replaces traditional geometry-based point cloud compression with a hybrid approach combining occupancy grid representation and video coding techniques. This substitution reduces encoding/decoding complexity by leveraging existing video codec infrastructure while maintaining transmission efficiency
2Manufacturing precision
If the number of points in 3D space is increased to improve point cloud quality, then service quality improves, but data volume and transmission requirements increase significantly
Solution Approach 1:
The patent implements dynamic adjustment of point cloud resolution and detail levels based on viewing angle, distance, and importance. This allows high point density only where necessary for quality perception, reducing overall data volume while maintaining service quality in critical regions
Solution Approach 2:
The patent merges multiple data representations (occupancy maps, depth information, color attributes) into a unified compressed format. This integration reduces redundant data storage and transmission requirements while preserving the ability to reconstruct high-quality point clouds with sufficient point density
Data Source
Figure 1
Figure 2
Figure 3
AI summary
A mesh data encoding method, according to embodiments, may comprise the steps of: encoding mesh data; and transmitting a bitstream including the mesh data. A mesh data decoding method, according to embodiments, may comprise the steps of: receiving a bitstream including mesh data; and decoding the mesh data.