Screen Correction Engine for Projector Alignment
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Solution Overview
Problem
Projector systems often display misaligned content on screens due to variations in screen position and geometry, especially when using multiple projectors, leading to double images and diminished user experience despite calibration efforts.
Innovation Solution
A system comprising projectors, a memory storage unit, an input device, and a correction engine that processes model content using actual screen parameters to generate corrected images, accounting for differences between ideal and actual screen geometries, thereby eliminating double images and improving image sharpness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If calibration is performed to align projector content, then image alignment improves, but screen position and geometry variations still cause misalignment and double images
Solution Approach 1:
The system performs preliminary actions by capturing screen geometry parameters and pre-computing correction maps before content projection. The correction engine creates a geometric model of the actual screen and pre-calculates how to warp content to compensate for screen variations, so that when content is projected, it automatically aligns correctly without requiring post-calibration adjustments.
Solution Approach 2:
The system changes parameters by transforming the content geometry based on captured screen parameters. The correction engine modifies the content's spatial parameters (horizontal offset, vertical offset, rotation, scaling) according to the pre-computed correction map, adapting the content to match the actual screen geometry rather than relying on fixed calibration settings.
2Area of stationary object
If multiple projectors are used to display content, then coverage area increases, but screen position variations cause content misalignment at overlap regions
Solution Approach 1:
The system performs preliminary actions by capturing the geometric parameters of the entire multi-projector screen setup and pre-computing correction maps for each projector's overlap region. The correction engine divides the screen into regions and pre-calculates how each projector should warp its content to ensure seamless alignment at boundaries, eliminating the need for post-deployment calibration of multiple projectors.
3Measurement precision
If screen geometry is corrected using traditional methods, then image alignment improves, but computational resources and on-site adjustment time increase
Solution Approach 1:
The system performs preliminary actions by automatically capturing screen geometry parameters using cameras or sensors and pre-computing correction maps before content projection. This eliminates the need for time-consuming manual on-site calibration and reduces computational resources during actual content delivery, as the correction is already prepared in advance.
Solution Approach 2:
The system creates a digital copy or model of the actual screen geometry through parameter capture and stores it as a correction map. This digital representation allows the correction engine to apply geometric transformations to content without requiring physical measurement or manual adjustment during deployment, significantly reducing on-site setup time and computational overhead.
Data Source
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AI summary
A method, system, and a computer readable medium for screen correction is provided. The system includes a memory storage unit for storing model content, a screen having screen parameters, an input device for receiving the screen parameters, a correction engine, and a projector. The method involves storing model content on a memory storage unit, receiving screen parameters, generating screen content, and projection at least a portion of the screen content onto the screen. The computer readable medium encoded with codes for directing a processor to carry out the method.