Dynamic Content Rendering in Virtual Reality Environments
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Solution Overview
Problem
Computer-generated reality (CGR) environments require significant computational power and bandwidth to maintain adequate resolution with minimal distortion, particularly when rendering and transmitting video data to devices like head-mounted devices (HMDs).
Innovation Solution
Implementing a method where content elements in a CGR environment are not re-rendered at each frame but only when a significant change occurs, determined by measuring errors such as perspective changes, observer movement, or object animations, allowing for efficient rendering and compositing by comparing these errors to a threshold to decide whether to reuse or re-render elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If content elements are re-rendered at each frame to maintain adequate resolution and minimal distortion, then image quality is improved, but computational power and bandwidth requirements increase significantly
Solution Approach 1:
The patent changes the parameter of rendering frequency from a constant value (every frame) to a variable value determined by error metrics. The system dynamically adjusts whether to re-render based on calculated error values that compare current frame requirements against previously rendered frames, thereby reducing computational power while maintaining acceptable image quality.
Solution Approach 2:
Instead of re-rendering all content elements at every frame (excessive action), the patent applies partial action by selectively re-rendering only those content elements where the error metric exceeds a threshold. This partial approach maintains adequate resolution for critical elements while avoiding unnecessary computational expenditure on elements that appear stable.
2Manufacturing precision
If content elements are re-rendered at each frame to maintain adequate resolution, then image quality is improved, but bandwidth requirements increase significantly
Solution Approach 1:
The patent dynamically changes the transmission parameter from sending all rendered frames to selectively transmitting only frames where error metrics indicate degradation. By calculating error values and comparing them against thresholds, the system adjusts bandwidth usage based on actual quality requirements rather than transmitting unnecessary data.
Solution Approach 2:
The patent extracts and transmits only the essential information - specifically, only those content elements where error exceeds thresholds require re-rendering and transmission. This extraction approach separates necessary transmissions from unnecessary ones, reducing overall bandwidth requirements while maintaining image quality where it matters.
3Manufacturing precision
If error calculation is performed for all content elements to determine selective re-rendering, then image quality is maintained, but computational complexity increases
Solution Approach 1:
The patent segments the error calculation process by applying different error metrics to different types of content elements. Rather than using a uniform complex calculation for all elements, the system divides content into categories (e.g., static vs. animated, foreground vs. background) and applies appropriate error thresholds, reducing overall computational complexity while maintaining quality.
Data Source
AI summary
Various implementations disclosed herein include devices, systems, and methods that enable improved display of virtual content in computer generated reality (CGR) environments. In some implementations, the virtual content is viewed by an observer and includes multiple content elements, each of which may be rendered at an independent rate based on a change of view of the observer.