Projection Alignment Using Segmented Adjustment Patterns
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Solution Overview
Problem
Permanently installed projection systems face challenges in accurately aligning images from multiple projection apparatuses due to insufficient camera resolution, leading to alignment failures and reduced display quality.
Innovation Solution
An image processing apparatus that generates a pattern image by adding pixels around significant elements in a reference pattern, allowing for accurate detection and correction of image distortion and position, thereby enabling precise alignment and improved display quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the image capturing camera enlarges an image of an adjustment pattern to capture an enlarged image, then the camera can capture the pattern with its limited resolution, but a pattern image is partly missing which reduces the amount of information obtained
Solution Approach 1:
The adjustment pattern is divided into multiple regions (first region and second region) with different pattern densities. The first region contains patterns suitable for high-resolution capture, while the second region contains patterns that can be captured even when enlarged. This segmentation allows the system to use different regions based on the camera's resolution capabilities, preventing information loss while maintaining measurement precision.
Solution Approach 2:
Different regions of the adjustment pattern have different local qualities - the first region has higher pattern density for precise measurement when captured at normal size, while the second region has lower pattern density that remains detectable when enlarged. This local quality variation ensures that sufficient information is always available for accurate position adjustment regardless of camera resolution limitations.
2Ease of manufacture
If a standard adjustment pattern is used with insufficient camera resolution, then the system can operate with simple hardware, but alignment failure and accuracy deterioration occur
Solution Approach 1:
The adjustment pattern is segmented into multiple regions with different pattern densities. The first region contains densely packed patterns for high-precision alignment when captured at normal size, while the second region contains sparsely packed patterns that remain detectable when enlarged by low-resolution cameras. This segmentation enables the system to maintain high alignment accuracy without requiring expensive high-resolution cameras.
Solution Approach 2:
The system changes the pattern density parameter across different regions of the adjustment pattern. By varying the spatial frequency and density of patterns in different regions, the system adapts to different camera resolution levels, allowing accurate alignment to be achieved with simple, low-resolution hardware while maintaining ease of manufacture.
Data Source
AI summary
An image processing apparatus that determines a correction parameter for correcting distortion or a position of an image projected on a screen by a projection unit, the apparatus comprises a holding unit which holds a reference pattern constituted by a background region and a plurality of significant pixels scattered in the background region and having a pixel value different from a pixel value of the background region, a generating unit which generates a pattern image to be projected by changing a value of a pixel near the significant pixel in the reference pattern, an acquisition unit which acquires a captured image obtained by an image capturing unit by capturing the pattern image generated by the generating unit so as to include a projection image projected by the projection unit, and a determining unit which determines the correction parameter from the captured image.