VR Attention Map Differential Resource Allocation
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Solution Overview
Problem
Virtual reality (VR) and augmented reality (AR) systems face challenges in maintaining low latency and high-quality rendering due to limited computational resources, leading to user discomfort from screen jitters and dizziness when latency exceeds 20 milliseconds.
Innovation Solution
An electronic apparatus with sensors and a control circuit generates an attention map to prioritize computational resource allocation based on user attention factors, differentially computing scene segments to optimize resource distribution and maintain low latency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If computational resources are uniformly allocated to all scene segments, then rendering quality is maintained, but latency increases and user comfort deteriorates
Solution Approach 1:
The patent applies local quality by allocating different computational resource levels to different scene segments based on their priority rankings. High-priority segments (those likely to be in the user's foveal vision) receive full computational resources for high-quality rendering, while low-priority segments (peripheral areas) receive reduced computational resources. This differential allocation maintains user comfort in critical areas while reducing overall latency through selective quality adjustment.
2Speed
If computational resources are reduced to decrease latency, then rendering speed improves, but rendering quality deteriorates
Solution Approach 1:
The system applies local quality by spatially varying rendering quality across different scene segments. High-priority segments maintain high rendering quality with sufficient computational resources, while low-priority segments use reduced quality settings. This allows the system to achieve faster overall rendering speeds while preserving visual quality in regions most important to user experience.
Solution Approach 2:
The patent implements partial action by applying full computational resources only to necessary portions of the scene (high-priority segments) rather than uniformly to the entire scene. This selective approach achieves the minimum necessary rendering quality for user comfort while significantly reducing total computational requirements and increasing rendering speed.
3Productivity
If computational resources are uniformly distributed, then all scene segments are processed equally, but resource efficiency decreases and latency increases
Solution Approach 1:
The system changes the parameter of computational resource allocation from a uniform distribution to a differential distribution based on priority rankings. By dynamically adjusting resource allocation parameters according to predicted user attention and scene importance, the system achieves higher resource efficiency and reduced latency without compromising user experience in critical areas.
Data Source
AI summary
An electronic apparatus includes a displayer, a graphic processing circuit, sensors and a control circuit. The displayer is configured for displaying a virtual reality scene or an augmented reality scene. The graphic processing circuit is coupled to the displayer. The graphic processing circuit is configured for computing a plurality of scene segments in the virtual reality scene or the augmented reality scene. The sensors are configured for collecting attention factors. The control circuit is coupled to the sensors and the graphic processing circuit. The control circuit is adapted to generate an attention map according to the attention factors. The attention map indicates priority rankings of the scene segments. The control circuit is further adapted to allocate a distribution of computational resources of the graphic processing circuit between the scene segments according to the priority rankings. The scene segments are computed differentially according to the distribution of computational resources.