3D Image Display Calibration with Camera-Based Phase Correction
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Solution Overview
Problem
Positional deviations or deformations in optical components of a 3D image display system can prevent users from properly viewing 3D images, especially in movable bodies like vehicles, due to manufacturing errors or changes over time.
Innovation Solution
A method involving a detector with a first camera to capture user eye positions, a 3D projector to emit parallax images, and an external camera to capture and correct image deviations by calculating phase distributions based on test images, allowing for precise alignment and correction of parallax images on the display panel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If optical components are manufactured and installed in a 3D image display system, then the system can display parallax images, but positional deviations and deformations occur over time preventing proper 3D image viewing
Solution Approach 1:
The system performs preliminary calibration by capturing test images through the reflective plate and calculating phase distributions before normal operation. This preliminary action establishes correction data that compensates for positional deviations and deformations, ensuring reliable 3D image viewing from the start and maintaining quality over time.
Solution Approach 2:
The system uses a camera to capture actual test images reflected from the optical components and compares them against expected patterns. This feedback loop allows the system to detect positional deviations and deformations, calculate phase distributions, and apply corrections to maintain stable 3D image viewing quality despite component drift.
2Manufacturing precision
If test images are captured and phase distributions are calculated to correct deviations, then manufacturing precision is improved, but the setting process becomes more complex
Solution Approach 1:
The system performs self-calibration by automatically capturing test images through the reflective plate, calculating phase distributions, and applying corrections without requiring external intervention. This self-service approach achieves high manufacturing precision while keeping the setting process manageable through automation.
Solution Approach 2:
The system changes parameters by calculating phase distributions that represent positional deviations and deformations. These phase distribution parameters are then used to adjust the parallax image display, transforming the complex physical alignment problem into a manageable parameter adjustment process.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Ensures accurate 3D image viewing by correcting for positional deviations and deformations, ensuring users can consistently experience high-quality 3D imagery even in dynamic environments.
Implementation Method 1
a reflective plate that reflects the right-eye image and the left-eye image with the traveling direction of light being defined
Data Source
AI summary
A second controller causes a display panel to sequentially display a plurality of test images, and causes a second camera in an external camera to sequentially capture the plurality of test images to obtain a plurality of second images. The captured second images are transmitted from the external camera to a three-dimensional image display system. The three-dimensional image display system extracts luminance from the received second images and creates luminance plots based on the extracted luminance. A third controller calculates phase values based on the created luminance plots. The third controller stores the calculated phase values with corresponding coordinates on the display panel into a storage as a phase distribution.