Lenticular Display Viewer Prediction for Low-Latency Image Rendering
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Solution Overview
Problem
Existing display devices using lenticular lenses struggle to maintain image quality when viewer positions change due to processing delays in detecting and adjusting images in real-time, leading to distorted or inappropriate images.
Innovation Solution
An electronic device predicts future viewer positions based on past and current position, velocity, and acceleration information to render images accordingly, reducing delays and maintaining image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If real-time detection and adjustment of viewer position is implemented, then image quality for moving viewers is improved, but processing delay increases
Solution Approach 1:
The system performs preliminary action by predicting future viewer positions based on current and past position data before the viewer actually moves to those positions. This allows the display device to pre-render images at predicted locations, eliminating the need to wait for real-time detection after the viewer has already moved, thus resolving the contradiction between maintaining image quality and reducing processing delay.
2Productivity
If images are rendered based on current viewer position, then processing speed is improved, but image quality deteriorates due to viewer movement during processing
Solution Approach 1:
Instead of waiting for current position detection to complete before rendering, the system performs preliminary prediction of future positions using current and historical data. This allows image rendering to begin earlier at predicted locations, maintaining processing speed while ensuring images are rendered at the correct future positions where the viewer will actually be, thus preserving image quality.
3Manufacturing precision
If prediction of future viewer positions is implemented, then image quality for moving viewers is improved, but computational complexity increases
Solution Approach 1:
The system applies parameter changes by using simple kinematic parameters (position, velocity, acceleration) that can be easily extracted from sequential camera frames. By modeling viewer motion using these fundamental parameters and basic physics equations, the system achieves accurate future position prediction without requiring complex computational models, thus improving image quality while minimizing computational complexity.
Data Source
AI summary
A method performed by an electronic device is provided. The method includes obtaining, by the electronic device, position information of a target part corresponding to a past time point, and position information of the target part corresponding to a reference time point, from an image that includes a facial region of a viewer and is input through a camera, obtaining, by the electronic device, position change information of the target part corresponding to the reference time point, based on the position information of the target part corresponding to the past time point, and the position information of the target part corresponding to the reference time point, predicting, by the electronic device, a future velocity of the target part based on the position change information of the target part corresponding to the reference time point, and position change information of the target part corresponding to the past time point, obtaining, by the electronic device, velocity change information of the target part corresponding to the reference time point, based on the position change information of the target part corresponding to the reference time point, and the position change information of the target part corresponding to the past time point, predicting, by the electronic device, a future acceleration of the target part based on the velocity change information of the target part corresponding to the reference time point, and velocity change information of the target part corresponding to the past time point, predicting, by the electronic device, future positions of both eyes corresponding to a target time point based on the future velocity and the future acceleration, and outputting, by the electronic device, an image based on the future positions of the eyes corresponding to the target time point.