Dynamic Image Rendering System for VR Latency Reduction
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Solution Overview
Problem
Current image rendering techniques, such as foveal rendering, face challenges in efficiently managing processing burdens for high-frame-rate video content in virtual reality applications, leading to potential latency issues and reduced user immersion due to outdated gaze tracking and loss of detail in peripheral regions.
Innovation Solution
An image rendering system that dynamically adjusts image quality based on object importance and user focus, using a saliency map or gaze tracking to prioritize high-quality rendering in the foveal region and reduce detail in peripheral areas, allowing for more efficient use of rendering resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If foveal rendering is used to reduce processing burden, then rendering efficiency is improved, but image quality in peripheral regions deteriorates
Solution Approach 1:
The patent applies local quality by rendering different regions of the image at different resolutions. The foveal region (center of gaze) is rendered at high resolution while peripheral regions are rendered at lower resolution, matching human visual perception characteristics and reducing overall processing requirements while maintaining perceived image quality.
Solution Approach 2:
The patent segments the image into multiple regions based on their importance to human vision. By dividing the image into foveal and peripheral regions and applying different rendering qualities to each segment, the system optimizes processing efficiency while preserving critical visual information.
2Manufacturing precision
If gaze tracking is used to determine foveal region, then rendering precision is improved, but system latency increases
Solution Approach 1:
The patent uses preliminary action by predicting the foveal region based on current gaze information before the next frame needs to be rendered. This allows the system to prepare rendering parameters in advance, reducing the critical path latency while maintaining accurate foveal region identification for high-quality rendering.
Solution Approach 2:
The patent applies dynamics by continuously updating the foveal region determination based on real-time gaze tracking data. The system dynamically adjusts which regions require high-quality rendering as the user's gaze moves, ensuring rendering precision adapts to changing viewing conditions without excessive latency.
3Reliability
If high frame rate rendering is implemented, then user immersion is improved, but processing burden increases
Solution Approach 1:
The patent applies local quality by concentrating processing resources on the foveal region where users are most likely to notice details. By rendering only the critical foveal area at high quality for each frame, the system can maintain high frame rates and user immersion while reducing the overall processing burden compared to rendering the entire image at high quality.
Data Source
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AI summary
An image rendering system for generating one or more images of a virtual environment, the system comprising an object identifying unit operable to identify one or more objects in the virtual environment, and to identify one or more rendering parameters associated with each object, and a rendering unit operable to render an image comprising one or more of the identified objects in accordance with the corresponding rendering parameter, wherein the rendering parameter specifies a respective minimum level of detail with which the object is to be rendered.