3D Video Data Encoding via 2D Projection for Bandwidth Reduction
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Solution Overview
Problem
Conventional 3D video communication technologies face limitations due to expensive hardware, complex system setups, high computational demands, low-resolution 3D sensing, and high network bandwidth requirements, making them unsuitable for widespread adoption.
Innovation Solution
The method involves encoding 3D geometry and color texture data into standard 2D image formats for compression and transmission over existing wireless networks, using a first computing device to convert 3D data into 2D images, which are then decompressed and decoded by a receiving device to maintain high-quality 3D video delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If 3D video data is transmitted using conventional compression technologies, then transmission quality is maintained, but network bandwidth requirements become excessively high
Solution Approach 1:
The patent transforms 3D video data into a 2D representation by projecting depth information onto a 2D plane and encoding it alongside color texture maps. This dimensional reduction allows the data to be compressed and transmitted as standard 2D video streams using conventional codecs, dramatically reducing bandwidth requirements while preserving 3D visualization capability on the receiving end
Solution Approach 2:
The patent creates a simplified copy of the 3D scene by generating depth maps and projecting them onto 2D planes. These 2D depth representations are then encoded and transmitted separately from color texture data. The receiving device reconstructs the 3D scene by combining these 2D copies, achieving efficient transmission without losing essential 3D information
2Measurement precision
If high-resolution 3D sensing is implemented, then measurement precision improves, but computational resources required increase significantly
Solution Approach 1:
The patent extracts only the essential depth information from high-resolution 3D scans and projects it onto 2D planes at reduced resolution. By extracting and projecting only the critical geometric data rather than transmitting complete high-resolution point clouds or mesh data, the system achieves good 3D reconstruction quality with significantly reduced computational processing requirements
Solution Approach 2:
The patent uses partial action by capturing depth information at strategically selected key frames and positions rather than continuously at full resolution. The system projects depth maps at reduced resolution and uses interpolation techniques to reconstruct intermediate frames, achieving acceptable 3D quality with fraction of the computational resources required for full high-resolution continuous capture
3Productivity
If specialized hardware is used for 3D video communication, then system performance improves, but device complexity and cost increase
Solution Approach 1:
The patent makes the system universal by encoding 3D video data in a format compatible with standard 2D video communication infrastructure. The projected depth maps and color texture maps are transmitted as conventional video streams that can be processed by any device with standard video decoding capabilities, eliminating the need for specialized 3D hardware while maintaining 3D visualization functionality
Solution Approach 2:
The patent introduces 2D projected depth maps as an intermediary representation between the original 3D scene and the final 3D visualization. This intermediary format can be transmitted through standard 2D video channels and then reconstructed into 3D on the receiving end, allowing conventional hardware to perform 3D video communication tasks without requiring specialized processing components
Data Source
AI summary
A method of processing data includes obtaining, by an encoding medium, the data of at least one of a geometry information or a texture information of a target. The method additionally includes converting, by the encoding medium, the geometry information into a plurality of periodical functions. Additionally, converting, by the encoding medium, the texture information into a second 2-D representation. Further, the method includes converting, by the encoding medium, each periodical function of the plurality of periodical functions and the second 2-D representation into an image. Moreover, the method includes decoding, by a decoding medium, the image into a 3-D representation using a transformation.