Multi-Camera 3D Image Compression via Spatial Correlation
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Solution Overview
Problem
Current systems lack efficient methods for rapidly converting 2D content to 3D/hologram content and transmitting it in real-time over wireless networks, requiring excessive wireless resources and compromising network efficiency and performance.
Innovation Solution
A method and system that utilize spatial correlation between 2D images from multiple cameras to compress and transmit representative images, reducing the amount of data needed for 3D/hologram image production and transmission, while maintaining image quality by using a service server to decode and produce 3D images from compressed data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If 3D/hologram content is transmitted in real-time over wireless networks, then the user experience and service quality are improved, but the wireless resource consumption increases significantly
Solution Approach 1:
The patent segments the 3D/hologram content transmission by dividing it into multiple 2D image sequences captured by multiple cameras. Instead of transmitting the complete 3D content as a single data stream, the system transmits multiple 2D views that can be reconstructed into 3D content at the receiving end, thereby reducing the overall transmission burden and wireless resource consumption.
Solution Approach 2:
The patent applies preliminary compression actions to the image data before transmission. By pre-processing the 2D images to extract and transmit only essential features and parameters rather than complete high-resolution images, the system reduces the data volume that needs to be transmitted over wireless networks, thus conserving wireless resources while maintaining real-time transmission capability.
2Manufacturing precision
If multiple cameras capture and transmit full-resolution 2D images for 3D production, then the image quality is maintained, but the transmission overhead increases
Solution Approach 1:
The patent extracts only the essential and most informative features from the multiple 2D images captured by cameras. Instead of transmitting all pixel data from each camera, the system identifies and extracts key features, parameters, and representative information that are sufficient for 3D reconstruction, thereby maintaining image quality while significantly reducing transmission overhead.
Solution Approach 2:
The patent transmits a partial set of image data that is sufficient for 3D reconstruction rather than complete full-resolution images from all cameras. By transmitting only the necessary portion of the total possible data (partial action), the system achieves the required image quality without the excessive transmission overhead that would result from sending all available camera data.
3Productivity
If 2D content is converted to 3D/hologram content rapidly, then the real-time transmission capability is improved, but the processing complexity increases
Solution Approach 1:
The patent performs preliminary processing and preparation of image data before the actual 3D conversion process. By pre-organizing, pre-compressing, and pre-processing the 2D image sequences in advance, the system reduces the computational burden during real-time conversion, thereby achieving rapid 2D-to-3D conversion without excessive processing complexity during the critical transmission phase.
Solution Approach 2:
The patent introduces an intermediary processing stage that acts as a bridge between 2D image capture and 3D reconstruction. This intermediary layer performs feature extraction, data organization, and preliminary processing that simplifies the subsequent 3D conversion process, enabling rapid conversion while managing processing complexity through the intermediary processing step.
Data Source
AI summary
Disclosed are a method and a system for image processing and data transmission in a network-based multi-camera environment. The inventive concept provides a real-time high-efficiency 3D/hologram image service to the user through an in-network computing technology. In detail, the inventive concept minimizes loss of a quality of a final 3D/hologram image while reducing an amount of information that is to be transmitted through processing of a plurality of cameras by allowing information captured by the cameras to be efficiently processed and transmitted when the cameras cooperate with each other to produce a 3D/hologram image.