Projector Image Alignment Using Stored Reference Patterns
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Solution Overview
Problem
Existing projection systems face challenges in accurately aligning a projection image without distortion when reinstalling a projector, leading to increased user workload due to the difficulty in repositioning the image correctly.
Innovation Solution
A method involving first and second processing operations to project test and reference patterns, storing their relative positional relationship and geometric correction values, allowing for easy alignment of the projection image upon reinstalling the projector.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If distortion adjustment pattern is used to align projection image, then image position can be adjusted, but alignment cannot be maintained after projector reinstallation
Solution Approach 1:
The system performs preliminary actions by capturing the relative positional relationship between the test pattern and reference pattern during initial setup, and storing geometric correction values before projector relocation. This pre-captured data enables automatic restoration of accurate alignment after reinstallation without requiring manual realignment.
Solution Approach 2:
The system creates a copy of the spatial relationship data between the test pattern and reference pattern, along with geometric correction values, and stores it for later use. This copied information allows the projection image to be accurately restored to its original position after projector relocation, maintaining alignment reliability.
2Ease of operation
If manual alignment is performed after projector reinstallation, then image position can be adjusted, but user workload increases
Solution Approach 1:
The system performs self-service by automatically using the stored relative positional relationship data and geometric correction values to restore accurate image alignment after projector reinstallation. This eliminates the need for users to manually perform complex alignment procedures, reducing both operational difficulty and time consumption.
Solution Approach 2:
The system utilizes feedback from the initial alignment process by storing the relative positional relationship between patterns and geometric correction values, then applying this feedback information automatically during subsequent operations to maintain proper image positioning without requiring user intervention.
Data Source
AI summary
A projection image adjustment method includes: performing first processing when a first operation is accepted, the first processing including causing a projector to project a first projection image including a test pattern, acquiring, from the projector, a geometric correction value obtained by performing geometric correction on the first projection image projected on a projection surface by the projector, generating a reference pattern corresponding to a marking operation for marking an object on the projection surface appearing in the first projection image when the marking operation is accepted, and storing a relative positional relationship between the test pattern and the reference pattern, and the geometric correction value, as one data set; and performing second processing including causing the projector to project a second projection image including the reference pattern when a second operation different from the first operation is accepted.