3D Mesh Displacement Decoding Error Tolerance
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The existing method of encoding and decoding mesh displacement images in a 4:2:0 format has insufficient error tolerance and scalability, leading to distortion in 3D data transmission.
Innovation Solution
A 3D data decoding apparatus that decodes mesh displacement images in a YCbCr 4:2:0 format using a video coding scheme, employing a displacement unmapper to derive mesh displacements from a mesh displacement image, and a video decoder to handle geometry video streams, thereby reducing distortion and improving encoding and decoding quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If mesh displacement image is encoded in 4:2:0 format using video coding scheme, then compression efficiency is improved, but error tolerance and scalability functions are insufficient
Solution Approach 1:
The displacement unmapper divides the mesh displacement image into multiple component images (e.g., R, G, B components), allowing independent processing and error isolation. This segmentation enables selective decoding of critical components while maintaining overall functionality even when some components suffer errors.
Solution Approach 2:
The system dynamically adjusts decoding parameters based on capability indicators from the decoding apparatus. When error tolerance is needed, the encoder can switch to more robust parameter settings, such as increased redundancy or alternative color space representations, while maintaining 4:2:0 format compression efficiency.
2Loss of energy
If mesh displacement image is encoded in 4:2:0 format using video coding scheme, then compression efficiency is improved, but scalability function is insufficient
Solution Approach 1:
The displacement unmapper implements dynamic adaptability by adjusting its operation based on capability indicators received from the decoding apparatus. The system can switch between different displacement derivation methods and component processing strategies to match the decoding capabilities, enabling scalable deployment across devices with varying performance levels.
Solution Approach 2:
The displacement unmapper is designed to handle multiple color formats (4:2:0, 4:4:4, etc.) and multiple displacement derivation methods within a single unified structure. This multi-functionality allows the same encoding framework to serve diverse decoding capabilities, from high-performance devices to resource-constrained devices.
3Speed
If mesh displacement image is decoded without proper unmapping, then decoding speed is improved, but distortion in 3D data increases
Solution Approach 1:
The displacement unmapper performs preliminary organization of component data during the decoding process, arranging R, G, and B components in their proper spatial and temporal relationships before final mesh reconstruction. This pre-organization prevents distortion while maintaining efficient processing by avoiding complex post-processing operations.
Data Source
AI summary
A video coding scheme for encoding and decoding 3D data encodes and decodes a mesh displacement image as an image in a 4:2:0 format, reduces distortion caused by encoding, and encodes and decodes 3D data with high quality. A 3D data decoding apparatus includes a video decoder that is configured to decode a mesh displacement image decoded from a geometry video stream in which a Unit Type of coded data is V3C_GVD and a displacement unmapper that is configured to derive a mesh displacement per position pos and component compIdx from the mesh displacement image. The displacement unmapper is further configured to derive a Y coordinate of a geometry image from a product of a height and a variable from 0 to a value indicating a number of dimensions of geometry minus 1 to derive the mesh displacement in a case that the geometry image is in a 4:2:0 format.


