Overlapping Projection Image Alignment via Absolute Shift Detection
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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 shifts along global coordinate axes, and adjust the position of one projector based on shift conditions to correct pixel alignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If relative pixel shift detection is performed between multiple projection images, then the amount and direction of pixel shift can be detected, but the absolute pixel shift direction in each projection image cannot be determined
Solution Approach 1:
A marker is introduced as an intermediary element that is detectable in both the first and second projection images. The marker serves as a reference point to determine the absolute shift direction. By detecting the marker's position in both images and calculating the shift vector, the system can unambiguously determine whether the first image needs to be shifted in the positive or negative direction to align with the second image.
2Measurement precision
If pixel shift amount and direction are detected, then alignment information is obtained, but the actual correction of pixel shift between projection images cannot be performed
Solution Approach 1:
The system implements a feedback mechanism where the detected pixel shift information is fed back to control the projector's position adjustment. The processing unit calculates the required shift amount and direction from the marker detection, then sends control signals to the projector to physically adjust its position or optically correct the image, thereby achieving actual pixel alignment correction.
3Manufacturing precision
If multiple projection images are captured and processed, then pixel shift information can be obtained, but the complexity of the adjustment process increases
Solution Approach 1:
The system extracts only the essential information needed for alignment by focusing on a single marker rather than processing the entire complex image data. By isolating the marker's position information from the rest of the image content, the system simplifies the calculation of pixel shift while maintaining sufficient precision for accurate alignment.
Data Source
AI summary
A projection image adjustment method includes acquiring a first captured image with a first image projected at a first position and a second image overlapping the first and projected at a second position, acquiring first and second amounts of shift based on the first image, moving the first image from the first to a third position in a first direction when the first and second shift amounts satisfy a first condition, acquiring a second captured image with the first image projected at the third position and the second image projected at the second position, acquiring third and fourth amounts of shift based on the second image, and moving the first image from the third to a fourth position in a second direction opposite of the first when the third and fourth amounts of shift satisfy a second condition and the third amount of shift is greater than the first.