Projection Image Calibration Using Projective Surface Parameters
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Solution Overview
Problem
Existing projection systems face challenges in accurately calibrating parameters for external imaging devices due to changing baseline lengths, requiring manual user intervention and reducing convenience.
Innovation Solution
A method and system that utilizes imaging devices to capture images of a projection surface with projected patterns, acquiring projective transformation matrices to adjust projection images based on plane parameters, enabling automatic calibration without manual user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If external imaging devices are used instead of incorporated imaging units, then device versatility is improved, but parameter calibration complexity increases due to changing baseline lengths
Solution Approach 1:
The projection device automatically performs calibration by capturing images with external imaging devices and computing projective transformation matrices without requiring manual user intervention. The system self-calibrates by using the captured images to determine geometric relationships and adjust projection parameters automatically.
Solution Approach 2:
The system dynamically adjusts calibration parameters based on the actual disposition position of external imaging devices. By computing projective transformation matrices from captured images, the system adapts to different baseline lengths and positions, transforming fixed parameters into variable parameters that automatically accommodate device placement variations.
2Measurement precision
If manual calibration is required for external imaging devices, then measurement precision can be maintained, but ease of operation deteriorates due to user intervention needs
Solution Approach 1:
The projection device automatically performs calibration by capturing images with external imaging devices and computing projective transformation matrices without requiring manual user intervention. The system self-calibrates by using the captured images to determine geometric relationships and adjust projection parameters automatically.
3Productivity
If parameters are stored in advance in projectors, then calibration speed is improved, but adaptability worsens because parameters cannot accommodate changing baseline lengths of external imaging devices
Solution Approach 1:
The system performs preliminary image capture and automatic computation of projective transformation matrices before actual projection occurs. By pre-processing the calibration data from captured images, the system prepares transformation parameters that can be quickly applied during operation, achieving both speed and adaptability.
Solution Approach 2:
The system dynamically adjusts calibration parameters based on the actual disposition position of external imaging devices. By computing projective transformation matrices from captured images, the system adapts to different baseline lengths and positions, transforming fixed parameters into variable parameters that automatically accommodate device placement variations.
Data Source
AI summary
A projection image adjustment method includes: acquiring a first captured image corresponding to a first device including a first lens by capturing an image of a plane projection surface on which a first pattern image including at least four unit images is projected from a first projection device; acquiring a second captured image corresponding to a second device including a second lens by capturing an image of the projection surface; acquiring, based on the first captured image and the second captured image, a projective transformation matrix indicating transformation from a first coordinate system in a first device to a second coordinate system in a second device; and acquiring a plane parameter of the projection surface by using the projective transformation matrix.


