Projection Image Alignment Using Absolute Pixel Shift Direction
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Solution Overview
Problem
Existing technologies, such as JP-A-2021-061510, can detect the relative pixel shift between projection images but fail to determine the absolute direction of pixel shift and do not provide a method to correct the pixel shift effectively.
Innovation Solution
A method involving a camera to capture overlapping images from multiple projectors, calculate the relative pixel shift, and adjust the position of the projectors based on the shift direction to correct the pixel shift, using a processing apparatus to move images in opposite directions when the shift exceeds a threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the camera captures images of overlapping projections to detect pixel shift, then the measurement precision of pixel shift is improved, but the system cannot determine the absolute pixel shift direction
Solution Approach 1:
The system performs iterative feedback correction by repeatedly capturing images, calculating pixel shifts, and adjusting projector positions. The correction amount is halved in each iteration until the pixel shift falls within a predetermined range, enabling convergence to the correct absolute alignment state.
Solution Approach 2:
The system preliminarily determines relative pixel shift direction and magnitude before performing absolute alignment. By first establishing the relationship between projectors and then using iterative feedback, the system recovers absolute position information that was initially lost.
2Area of stationary object
If multiple projectors project images that overlap on the projection surface, then the coverage area is improved, but the alignment precision between overlapping images deteriorates
Solution Approach 1:
The system uses feedback control by continuously monitoring pixel shift through camera capture and automatically adjusting projector positions. The iterative correction process with decreasing correction amounts ensures that multiple projectors achieve precise alignment while maintaining their overlapping coverage areas.
Solution Approach 2:
This principle is not applicable to this patent as the solution does not involve chemical oxidation processes.
3Manufacturing precision
If the system adjusts projector positions to correct pixel shift, then the image alignment is improved, but the device complexity increases
Solution Approach 1:
The system performs self-alignment by automatically detecting pixel shifts through the camera and adjusting projector positions without external intervention. The automated feedback loop with iterative correction reduces the need for manual calibration and complex external alignment equipment.
Solution Approach 2:
The camera serves multiple functions: capturing projection images for pixel shift detection, providing feedback for correction, and verifying alignment results. This multi-functionality reduces the need for separate dedicated alignment devices, thereby managing system complexity.
Data Source
AI summary
A projection image adjustment method includes acquiring first captured image by capturing image of first image projected at first position on projection surface and second image projected at second position on projection surface and at least partially overlapping with first image, acquiring first amount of shift between first image and second image based on first captured image, moving first image from first position to third position separate therefrom in first direction, acquiring second captured image by capturing image of first image projected at third position and second image projected at second position, acquiring second amount of shift between first image and second image based on second captured image, and moving second image from second position to a fourth position separate therefrom in a second direction that is the opposite direction of the first direction when the second amount of shift is smaller than the first amount of shift.


