Projection System Automatic Calibration Using Identification Patterns
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Solution Overview
Problem
Conventional projection systems require manual and time-consuming adjustments to ensure a projected image is fully displayed on a screen, leading to suboptimal display quality due to the image often being larger than the screen and not being aligned properly.
Innovation Solution
A method involving the projection of identification patterns on a display screen, capturing their coordinates, and using this information to calculate the necessary adjustments to align and resize the projection image to match the screen boundaries, allowing for automatic and precise alignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual adjustment operations are performed to align the projection image with the display screen, then the display quality is improved, but the time consumption and operational complexity increase
Solution Approach 1:
The system performs automatic calibration by capturing images of identification patterns projected on the screen, computing transformation matrices, and adjusting the projection image autonomously without requiring manual operation. The projector system calibrates itself using the captured screen boundaries and coordinate transformations.
Solution Approach 2:
The system uses identification patterns with distinct colors or grayscale variations that are easily detectable by the image capturing device. These patterns create high-contrast features that facilitate accurate coordinate detection and transformation matrix computation.
2Manufacturing precision
If manual adjustment operations are performed to align the projection image with the display screen, then the display quality is improved, but the operational complexity increases
Solution Approach 1:
The system performs automatic calibration by capturing images of identification patterns projected on the screen, computing transformation matrices, and adjusting the projection image autonomously without requiring manual operation. The projector system calibrates itself using the captured screen boundaries and coordinate transformations.
Solution Approach 2:
The system replaces manual mechanical adjustment operations with an automated image processing and coordinate transformation system. Instead of physically adjusting the projector, the system uses digital image capture, matrix computation, and software-based image transformation to achieve alignment.
3Area of stationary object
If the projection image size is increased to cover the display screen, then the screen coverage is improved, but the display quality deteriorates due to peripheral regions being displayed outside the screen
Solution Approach 1:
The system computes a transformation matrix that maps the projection image coordinates to the display screen coordinates, enabling precise scaling and positioning. This mathematical transformation allows the projection image to be perfectly sized and positioned to match the screen boundaries, achieving both full coverage and high display quality.
4Productivity
If automatic calibration using identification patterns is implemented, then the calibration speed is improved, but the device complexity increases
Solution Approach 1:
The projection system integrates multiple functions into a single calibration process: the identification patterns serve both as alignment references and as measurement tools for computing the transformation matrix. The image capturing device serves dual purposes of displaying patterns and detecting their positions, reducing the need for separate calibration equipment.
Data Source
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Figure 3A~3B
AI summary
A projection system and a method for calibrating display image are provided. The method includes: setting a correction image having identification patterns, and establishing first coordinate information of the identification patterns; using a projection device to project the correction image on a display screen; performing an image capturing operation to the correction image and the display screen to obtain a captured image; calculating second coordinate information of the identification patterns in the captured image, and calculating coordinate translation information according to the first coordinate information and the second coordinate information; calculating boundary information of the display screen according to a plurality of boundary coordinate values of the display screen in the captured image and the coordinate translation information, such that the projection device adjusts a size of a projection image for corresponding to the display screen according to the boundary information.