Multi-User Projection Rendering for Personalized 3D Screen Viewing
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Solution Overview
Problem
Existing methods for augmented reality rendering on large-scale holographic, mirror, or naked-eye 3D screens support only one user at a time, leading to low usability and impaired user experience.
Innovation Solution
A method and device that obtain spatial coordinate and angle information of multiple users' eyes to determine individual focus areas and render personalized content, projecting it onto the target screen for simultaneous interaction and viewing by multiple users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If viewpoint-based augmented reality rendering or interleaved rendering is performed based on a focus area of a user at a target position, then rendering quality for a single user is improved, but the usability and user experience are impaired because only one person is supported for viewing and interaction
Solution Approach 1:
The target screen is divided into multiple focus areas, with each focus area corresponding to a specific user position. The rendering system segments the display area to provide personalized content for each user simultaneously, resolving the contradiction between single-user rendering quality and multi-user support
Solution Approach 2:
The system introduces spatial dimension information by obtaining position information of multiple users' eyes relative to the target screen. By utilizing spatial coordinates and angle information, the system renders different content for different users in the same physical space, enabling multi-user support while maintaining rendering quality
2Device complexity
If the same rendering content is displayed on the entire target screen, then device complexity is reduced, but user experience is impaired because personalized content for different users cannot be provided
Solution Approach 1:
The system performs preliminary actions by obtaining position information of multiple users' eyes and determining their respective focus areas before rendering. This pre-processing enables personalized content delivery without significantly increasing device complexity, as the position information acquisition and focus area determination are integrated into the existing rendering pipeline
Data Source
AI summary
A projection method includes obtaining position information of eyes of a plurality of users relative to a target screen in space, the position information including spatial coordinate information and angle information, determining, based on the spatial coordinate information, a focus area of each user on the target screen and corresponding rendering content information, rendering the rendering content information based on the angle information to obtain a rendering image corresponding to the user, and projecting the rendering image corresponding to the user onto the focus area on the target screen corresponding to the user.