3D Model Distribution via Depth Image Compression
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Solution Overview
Problem
Current methods for distributing three-dimensional models are inefficient due to the large amount of data required, leading to network bandwidth issues and prolonged reception times.
Innovation Solution
The proposed solution involves generating and distributing depth images from three-dimensional models, along with information for restoring the model, using a two-dimensional image compression scheme to reduce data volume, and employing different distribution modes for models with varying change frequencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If three-dimensional model data is distributed directly, then the model can be received and processed, but the amount of data is large causing network bandwidth issues and prolonged reception times
Solution Approach 1:
The patent creates a compressed copy of the three-dimensional model in the form of a depth image, which is then transmitted instead of the original model data. This compressed copy contains sufficient information for the receiving device to reconstruct the model, thereby reducing the quantity of transmitted data while maintaining functional equivalence.
Solution Approach 2:
The patent transforms the three-dimensional model into a depth image format, changing the data representation from volumetric/point-cloud parameters to two-dimensional image parameters. This parameter transformation enables the use of efficient two-dimensional image compression algorithms, significantly reducing the data size for transmission.
2Quantity of substance
If three-dimensional model data is distributed directly, then the complete model information is transferred, but network bandwidth consumption increases
Solution Approach 1:
The patent transmits a compressed copy of the three-dimensional model as a depth image rather than the original model data. This copy is sufficient for reconstruction purposes, reducing the network bandwidth required while maintaining the essential model information for the receiving device.
Solution Approach 2:
By converting the three-dimensional model into a depth image representation, the patent enables the use of efficient two-dimensional image compression techniques. This parameter change allows for significant reduction in data size, thereby decreasing network bandwidth consumption during transmission.
3Productivity
If three-dimensional model data is distributed directly, then the model can be received, but the data transmission efficiency is low
Solution Approach 1:
The patent creates and transmits a compressed copy of the three-dimensional model in the form of a depth image. This copy maintains the necessary information for model reconstruction while being much more compact than the original data, thereby improving data distribution efficiency.
Solution Approach 2:
The patent transforms the three-dimensional model into a depth image format, enabling the use of efficient two-dimensional image compression algorithms. This parameter transformation significantly reduces the data size, improving the efficiency of data distribution while maintaining model reconstructability.
Data Source
AI summary
A three-dimensional model distribution method includes generating a depth image from a three-dimensional model; and distributing the depth image and information for restoring the three-dimensional model from the depth image.