Multiscopic Display Calibration Using Frequency-Domain Alignment
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Solution Overview
Problem
Calibration of multiscopic displays is a time-consuming, labor-intensive process prone to human error and requires frequent re-calibration due to environmental changes, leading to visual artifacts like crosstalk and ghosting, especially in advanced applications such as automotive displays and AR/VR systems.
Innovation Solution
An automated calibration system using frequency domain analysis to determine parameters like pitch, orientation, thickness, and phase of the multiscopic optical element by comparing frequency-domain representations of displayed and captured images, eliminating manual intervention and ensuring high accuracy and scalability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual calibration is performed by skilled operators, then alignment between multiscopic optical element and pixel array can be achieved, but the process is time-consuming and labor-intensive
Solution Approach 1:
The patent replaces manual mechanical adjustment with an automated optical measurement system. The system captures images of the display area, transforms them to frequency domain, and automatically determines alignment parameters between the multiscopic optical element and pixel array, eliminating the need for skilled operators to perform manual visual inspection and adjustment.
Solution Approach 2:
The calibration system performs self-measurement by capturing images of the display area and automatically processing them through frequency domain transformation. The system independently determines alignment parameters without requiring external manual intervention, enabling automated calibration that is both precise and efficient.
2Manufacturing precision
If manual calibration is performed, then initial alignment can be achieved, but calibration drifts over time due to thermal expansion, mechanical stress, or environmental changes
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously or periodically measures the actual alignment parameters by capturing images and performing frequency domain analysis. Based on the measured parameters, the system can automatically adjust the multiscopic optical element to maintain optimal alignment, compensating for drift caused by thermal expansion, mechanical stress, or environmental changes.
3Ease of manufacture
If existing calibration techniques are used, then acceptable results can be achieved, but visual artifacts such as crosstalk, ghosting, or incorrect depth perception occur due to minor misalignments
Solution Approach 1:
The patent replaces subjective visual inspection with objective frequency domain measurement. The system transforms captured images to frequency domain, where alignment parameters can be precisely measured and quantified. This automated measurement approach detects even minor misalignments that would be imperceptible to human operators, enabling precise correction to eliminate visual artifacts like crosstalk, ghosting, or incorrect depth perception.
4Manufacturing precision
If manual calibration with test patterns is performed, then alignment can be adjusted, but the process is not scalable for mass production or real-time re-calibration
Solution Approach 1:
The patent replaces manual calibration procedures with an automated optical measurement and control system. The system rapidly captures images of the display area, performs frequency domain transformation, and determines alignment parameters without requiring operator intervention. This automation enables high-throughput calibration suitable for mass production and allows real-time re-calibration when environmental conditions change.
Solution Approach 2:
The calibration system enables continuous or periodic measurement of alignment parameters by repeatedly capturing images and performing frequency domain analysis. This continuous monitoring and adjustment capability allows real-time re-calibration in dynamic environments, maintaining optimal performance throughout operation rather than requiring periodic manual intervention.
Data Source
AI summary
A system including: a multiscopic display; camera(s) that is/are positioned such that a display area of the multiscopic display lies at least partially within a field of view of the camera(s); and processor(s) configured to: display an image via the multiscopic display, whilst capturing image(s) of the display area using the camera(s); rectify the captured image(s) of the display area, to represent the display area only; generate a frequency-domain representation of the displayed image and a frequency-domain representation of the captured image(s) of the display area after rectifying; and determine a correct value of parameter(s) of a multiscopic optical element of the multiscopic display, based on the frequency-domain representation of the displayed image and the frequency-domain representation of the captured image(s) of the display area.