3D Tiled Display Calibration via Structured Light Ray Modeling
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Solution Overview
Problem
In large-screen tiled integral imaging displays, accurate alignment of lens arrays is challenging due to precision limitations, temperature changes, and mechanical oscillations, leading to misalignment issues.
Innovation Solution
A method for calibrating a three-dimensional image in a tiled display system involving capturing structured light images, extracting principal observation ray pixels, generating a geometric model, and rendering images based on a ray model to correct misalignments between lens arrays and the display panel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple lens arrays are combined to form a large lens array in a tiled display, then the display area is increased, but misalignment between lens arrays occurs due to installation precision limitations, temperature changes, and mechanical oscillation
Solution Approach 1:
The patent performs preliminary calibration by capturing structured light images and extracting principal observation ray pixels before actual display operation. The geometric model is calibrated and the ray model is generated in advance to compensate for misalignment, allowing the system to achieve accurate 3D display despite the combined nature of multiple lens arrays
Solution Approach 2:
The patent implements feedback through the calibration process where captured images are used to adjust and refine the geometric model of the tiled display. The system captures structured light images, extracts POR pixels, and uses these to calculate accurate mapping relationships between display pixels and lens array positions, continuously improving alignment accuracy
2Ease of manufacture
If traditional calibration methods are used for tiled displays, then the calibration process is simple, but accurate compensation for misalignment cannot be achieved
Solution Approach 1:
The patent introduces structured light images as an intermediary medium to bridge the display panel and lens arrays. By capturing images of structured light patterns and extracting principal observation ray pixels, the system creates a measurable correspondence between display coordinates and optical paths, enabling precise calibration without direct mechanical adjustment
Solution Approach 2:
The patent replaces traditional mechanical alignment adjustment with an optical-field-based calibration method. Instead of physically adjusting lens arrays to achieve alignment, the system uses captured structured light images to computationally determine and compensate for misalignment through geometric model calibration and ray model generation
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
This approach enables accurate calibration and maintenance of a stable three-dimensional image display, even with misalignments, by simplifying the calibration process and reducing manufacturing costs through improved precision and user-friendly calibration methods.
Implementation Method 1
the lens array may generate a 3D image by refracting different portions in the EIA in different directions in a 3D space
Implementation Method 2
capturing a plurality of structured light images displayed on the display panel
Data Source
AI summary
Provided are methods and apparatuses for calibrating a three-dimensional (3D) image in a tiled display including a display panel and a plurality of lens arrays. The method includes capturing a plurality of structured light images displayed on the display panel, calibrating a geometric model of the tiled display based on the plurality of structured light images, generating a ray model based on the calibrated geometric model of the tiled display, and rendering an image based on the ray model.