3D Mesh Compression Using Point Cloud Bitstream Separation
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Solution Overview
Problem
Existing methods for compressing three-dimensional mesh data are inefficient for transmission and storage, particularly in applications like autonomous driving and mobile technologies.
Innovation Solution
A method and apparatus that transform three-dimensional mesh data into a point cloud and compress/reconstruct it using point cloud compression techniques, involving bitstream separation and synthesis for improved coding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If three-dimensional mesh data is stored or transmitted using traditional ASCII code representation, then the data can be represented in a simple format, but the coding efficiency is poor leading to large data size and slow transmission
Solution Approach 1:
The patent transforms mesh data from traditional ASCII code representation to point cloud format, changing the fundamental parameters of data representation. This involves converting vertex coordinates, texture vertices, and connectivity information into a compact point cloud structure that can be efficiently compressed using modern compression algorithms, thereby reducing data size and improving coding efficiency
Solution Approach 2:
The patent segments the mesh data into distinct components: point cloud data representing geometric information and texture map data representing surface properties. This segmentation allows each component to be compressed independently using optimized algorithms, with the point cloud compressed using spatial compression techniques and texture maps using image compression techniques, thereby improving overall coding efficiency
2Quantity of substance
If mesh data is compressed to reduce data size, then transmission and storage efficiency improve, but the complexity of the compression and reconstruction process increases
Solution Approach 1:
The patent introduces point cloud data as an intermediary representation between the original mesh data and the compressed format. The mesh is first transformed into point cloud format, which serves as an intermediate structure that is more suitable for compression. This intermediary step simplifies the compression process by providing a standardized representation that can be efficiently processed by compression algorithms
Solution Approach 2:
The patent creates a compressed copy of the mesh data in point cloud format, separate from the original ASCII representation. This copy can be transmitted or stored in a compact form, and only converted back to mesh format when needed for processing or display, thereby reducing the complexity of handling large mesh data while maintaining the ability to reconstruct the original mesh when required
Data Source
AI summary
An encoding method is performed by a mesh encoding apparatus for encoding a mesh. A decoding method is performed by a mesh decoding apparatus for decoding a mesh. The encoding method includes: obtaining vertex information from a mesh; generating a first bitstream by encoding the vertex information; obtaining texture map information from the mesh; generating a second bitstream by encoding the texture map information; and combining the first bitstream and the second bitstream to generate a bitstream.