Adaptive Reprojection Rate for VR Image Clarity
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Solution Overview
Problem
In virtual reality systems, frequent reprojection to maintain a seamless user experience can cause blurring due to rapid changes in the virtual space view, leading to motion sickness and degraded user experience.
Innovation Solution
Implementing an adaptive reprojection method that adjusts the reprojection rate and resolution based on the amount of change in the user's view, using a bilinear or bicubic filter as needed, to conserve computational resources and prevent blurring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If frequent reprojection is performed to maintain seamless user experience, then image rendering quality is improved, but blurring occurs due to rapid view changes
Solution Approach 1:
The system dynamically adjusts the reprojection rate based on the amount of view change detected between frames. When view changes are small, reprojection is performed more frequently to maintain image quality. When view changes exceed a threshold, the reprojection rate is reduced to prevent blurring. This dynamic adaptation resolves the contradiction by making the reprojection frequency responsive to actual user movement rather than fixed.
Solution Approach 2:
The patent changes the reprojection rate parameter adaptively based on view change magnitude. By monitoring view change amounts and adjusting the reprojection rate accordingly, the system optimizes the balance between maintaining seamless user experience and preventing image blurring. This parameter adjustment strategy allows the system to switch between different reprojection frequencies based on real-time conditions.
2Manufacturing precision
If high-resolution reprojection is performed frequently, then image quality is improved, but computational resources are consumed
Solution Approach 1:
Instead of performing high-resolution reprojection on the entire image at maximum frequency, the system applies reprojection selectively based on view change amounts. When view changes are within acceptable thresholds, reprojection is performed at appropriate rates. When changes exceed thresholds, reprojection is reduced or skipped, accepting localized quality degradation to conserve computational resources overall.
Solution Approach 2:
The system adjusts the reprojection rate parameter dynamically based on view change detection. By changing this parameter adaptively, the system performs high-resolution reprojection only when necessary (small view changes) and reduces reprojection frequency when view changes are large, thereby optimizing the balance between image quality and computational resource consumption.
3Loss of time
If reprojection rate is increased to reduce latency, then responsiveness is improved, but blurring increases due to rapid view changes
Solution Approach 1:
The system implements dynamic control of the reprojection rate based on real-time view change detection. Rather than using a fixed high reprojection rate that causes blurring during rapid movements, the system adapts the rate to match actual user behavior. This dynamic adjustment maintains low latency during stable viewing while preventing blurring during rapid head movements.
Solution Approach 2:
The reprojection rate parameter is changed adaptively based on the amount of view change between frames. This parameter modulation allows the system to optimize the trade-off between latency and image clarity by increasing reprojection frequency only when view changes are small, and reducing it when view changes are large, thereby preventing blurring while maintaining responsiveness.
Data Source
AI summary
Disclosed herein includes a system, a method, and a device for rendering an image through adaptive reprojection. A first reprojection can be performed to generate a portion of a first image of a first view of a virtual space at a first rate. An amount of change from the first view to a second view of the virtual space can be determined. A portion of a second image of the second view of the virtual space can be determined to generate through a second reprojection. The second reprojection can be performed at a second rate to the portion of the second image according to the amount of change from the first view to the second view of the virtual space.