基于多通道预测的VR渲染交互方法、系统及设备
By acquiring user gaze vectors through a head-mounted display, multi-channel wander bias and gaze concentration wander spectra are generated, and the VR teaching image quality is dynamically adjusted. This solves the problem of image clarity and resource conservation in multi-user scenarios, and improves the efficiency and battery life of VR teaching.
CN121239833BActive Publication Date: 2026-07-17GUANGDONG AIB POLYTECHNIC COLLEGE
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GUANGDONG AIB POLYTECHNIC COLLEGE
- Filing Date
- 2025-11-11
- Publication Date
- 2026-07-17
AI Technical Summary
Technical Problem
Existing VR teaching systems struggle to balance image clarity and resource conservation in multi-user scenarios, especially when students' attention is inconsistent, leading to excessive hardware load and wasted network bandwidth.
Method used
By acquiring the user's real-time gaze vector through the head-mounted display camera, multi-channel wander bias and gaze concentration wander spectrum are generated, and the resolution scaling ratio of the video frames is dynamically adjusted to achieve off-screen rendering.
Benefits of technology
It enables dynamic adjustment of image quality based on student attention, improving the visual quality and battery life of VR teaching while reducing hardware load and network traffic.
✦ Generated by Eureka AI based on patent content.
Smart Images
Figure CN121239833B_ABST
Abstract
本发明属于图像处理领域，提供了基于多通道预测的VR渲染交互方法、系统及设备，使用对齐后的注视序列进行专注视偏向游移的计算，以所述专注视偏向游移矩阵生成多通道游移偏向，根据多通道游移偏向生成注视集中游移谱；以所述注视集中游移谱调节所述的视频信息中各采样时刻对应的图像帧的分辨率缩放比例，再将所述的视频信息中各采样时刻对应的图像帧渲染输出。可用于实时调整头戴显示器的离屏渲染分辨率和可变速率着色参数，实现高专注帧高画质、低专注帧节能降载。本发明兼顾群体注意力一致性与终端算力、带宽约束，可在关键教学片段保持细节清晰的同时平均削减像素着色与网络流量，提升VR课堂的视觉质量、续航时间与网络承载能力。
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Citation Information
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