XR Rendering Enhancement Using HPPD-RPPD Thresholds
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Solution Overview
Problem
Existing XR technologies face challenges in achieving consistent and efficient rendering of immersive visual content across varying hardware and dynamic user movements, leading to issues like flickering and frame tears, due to inadequate enhancement techniques and lack of hardware-specific metrics for content optimization.
Innovation Solution
The use of hardware-pixels-per-degree (HPPD) metrics to dynamically enhance visual XR content by applying sharpening or super-sampling filters based on the difference between HPPD and render pixels-per-degree (RPPD) metrics, ensuring optimal rendering quality and performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If enhancements (e.g., sharpening, super-sampling) are applied to mitigate artifacts, then visual quality is improved, but rendering costs increase
Solution Approach 1:
The system dynamically changes enhancement parameters (filter strength, sampling rate) based on the calculated difference between HPPD and RPPD metrics. When the difference exceeds a threshold, enhancements are applied; when it doesn't, enhancements are reduced or omitted, thus optimizing the balance between visual quality and rendering costs
Solution Approach 2:
Instead of applying enhancements uniformly to all content, the system applies partial enhancement only to specific regions or content where the HPPD-RPPD difference indicates it is necessary, reducing overall rendering costs while maintaining visual quality where needed
2Manufacturing precision
If sharpening filter is applied to minified XR panel, then visual details are enhanced, but flicker artifacts are exacerbated
Solution Approach 1:
The system changes the type of enhancement applied based on the rendering scenario. When minification is detected (HPPD > RPPD), the system may apply super-sampling instead of sharpening, or adjust sharpening parameters to avoid exacerbating flicker artifacts while still enhancing visual details
Solution Approach 2:
The system uses feedback from the HPPD-RPPD difference calculation to determine appropriate enhancement strategies. By continuously monitoring this metric difference, the system can adaptively choose enhancement types that improve details without worsening flicker artifacts
3Productivity
If enhancements are applied dynamically based on HPPD-RPPD difference, then rendering efficiency is improved, but device complexity increases
Solution Approach 1:
The system replaces complex dynamic enhancement decisions with a simpler metric-based approach. By calculating HPPD-RPPD difference and comparing against thresholds, the system avoids complex real-time analysis while achieving adaptive enhancement, thus improving efficiency without excessive complexity
Data Source
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AI summary
The present disclosure regards devices, methods, and systems for dynamically enhancing visual XR content. An example device is an XR device with a display device, a lens, and one or more programs. The programs of the XR device include instructions for determining a hardware pixels-per-degree ("HPPD") metric for the XR device and for determining a render pixels-per-degree ("RPPD") metric for visual XR content to be displayed by the XR device. The programs further include instructions for determining whether a difference between the HPPD metric and the RPPD metric satisfy a minimum difference threshold and, after determining that the threshold is satisfied, enhancing the visual XR content based on the difference between the metrics. For example, if the HPPD metric is greater than the RPPD metric, then enhancement may involve applying a sharpening filter to the visual XR content; otherwise, it may involve super-sampling the content.