Multi-Projection Position Detection via Segmented Brightness Control
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Solution Overview
Problem
Existing multi-projection systems face challenges in accurately detecting the difference in position between projection images due to issues with generating accurate frequency spectra in two-dimensional Fourier transform processing, particularly for certain types of projection images.
Innovation Solution
A control method for a multi-projection system that projects specific image groups with varying brightness states from two projectors onto a projection surface, acquiring imaging data, and analyzing it to detect the difference in position between the projected images within an overlapping region.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If two-dimensional Fourier transform processing is applied to the captured image to detect position difference, then the detection process can be automated, but the frequency spectrum generation becomes inaccurate for certain types of projection images
Solution Approach 1:
The patent segments the projection image into multiple regions with different brightness characteristics. By dividing the image into a first region (first brightness) and a second region (second brightness), the system can process each region separately, allowing accurate frequency spectrum generation for each segment while maintaining automation. This resolves the contradiction by enabling automated detection while improving precision through regional segmentation.
Solution Approach 2:
The patent applies different processing characteristics to different regions of the projection image. The first region and second region are treated with different brightness thresholds and processing parameters, allowing each region to be optimized for its specific characteristics. This local quality approach enables accurate frequency spectrum generation across the entire image while maintaining automation.
2Measurement precision
If the brightness of projection images is increased to improve detection accuracy, then the signal strength increases, but the noise in the imaging data increases
Solution Approach 1:
The patent changes the brightness parameters of different regions in the projection image. By setting specific brightness thresholds for the first and second regions, the system optimizes the signal-to-noise ratio for each region. This parameter change allows the system to maintain high detection accuracy while controlling noise levels through region-specific brightness management.
Data Source
AI summary
A control method includes projecting a first image group having a first state in which brightness of a first projection image is greater than zero and brightness of a second projection image is zero on a projection surface in a corresponding region where parts of the first and second projection images overlap, acquiring first imaging data by imaging the corresponding region with the first image group projected on the projection surface, projecting a second image group having a second state in which brightness of the first projection image is zero and brightness of the second projection image is greater than zero in the corresponding region, acquiring second imaging data by imaging the corresponding region with the second image group projected on the projection surface, and detecting a position difference between the first and second projection images in an overlapping region range by analyzing the first and second imaging data.