Projector Blending Area Adjustment via Grid Test Patterns
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Solution Overview
Problem
Current projection image stitching technologies face challenges in accurately determining and adjusting the blending area between multiple projectors, relying heavily on high-quality cameras and manual adjustments, which are cumbersome and limited in scope, leading to potential deviations and unsuccessful stitching.
Innovation Solution
A method and device that project a test pattern with grid lines onto overlapping areas of projectors, allowing users to intuitively select and adjust the inner and outer boundaries of the blending area through a user interface, dynamically adjusting the grid pitch for precise boundary determination and brightness adjustment to achieve seamless image stitching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a camera is used to capture projection images for determining the blending area, then the blending area can be calculated through brightness formulas, but the method requires very high image quality from the camera and cannot handle overexposed images, leading to large deviations and unsuccessful stitching
Solution Approach 1:
The patent uses a test pattern projection method that creates a standardized reference image (copy) of the projection area. By projecting a known test pattern and capturing it with the camera, the system establishes a reference that can be used to determine blending area boundaries without relying on the quality of arbitrary projection images. This reference copy approach allows accurate boundary detection even when the actual projection images vary in quality or become overexposed.
2Area of stationary object
If multiple cameras are added to cover all projection ranges, then the viewing coverage is improved, but the complexity of algorithm calculations increases and deviation widens after many calculations
Solution Approach 1:
The patent divides the projection area into discrete grid regions using a test pattern with grid lines. Each grid cell becomes an independent unit for determining whether it belongs to the blending area or non-blending area. This segmentation approach allows the system to process large projection areas by handling small, manageable grid cells individually, reducing the overall calculation complexity compared to processing the entire projection area as a single continuous region.
Solution Approach 2:
The patent determines blending area boundaries by analyzing only the grid cells that fall within the overlapping region of multiple projectors, rather than processing the entire projection area. By focusing calculations only on the relevant partial region (the blending area and its boundaries), the system avoids unnecessary calculations in non-overlapping areas, thereby reducing overall computational complexity and preventing deviation accumulation.
3Ease of operation
If manual adjustment of the blending area is performed using human eyes and software UI, then the blending area can be adjusted, but the operation becomes complicated and the user feels clueless and inconvenient during calibration
Solution Approach 1:
The patent uses visual differentiation through the test pattern grid system to indicate blending area boundaries. By projecting a test pattern with visible grid lines and using the captured image to determine which grid cells constitute the blending area, the system provides clear visual feedback to users. This visual indication method replaces complex manual UI adjustments with an intuitive visual boundary determination process, making the calibration operation simpler and more user-friendly.
Data Source
AI summary
A method and device for homogenizing images of projectors is provided, and includes: projecting a first test pattern on respective projection images of projectors, projection images between a first and a second projectors among the projectors having an overlapping area, and the first test pattern having grid lines; selecting, in the grid lines of the first test pattern on the projection image of the first projector, an inner and an outer boundaries of the overlapping area of the first projector; selecting, in the grid lines of the first test pattern on the projection image of the second projector, an inner and an outer boundaries of the overlapping area of the second projector; gradually reducing a brightness from the inner to the outer boundaries of the overlapping area of the first projector; gradually reducing a brightness from the inner to the outer boundaries of the overlapping area of the second projector.