Projection Device Calibration via Orthogonal Color Coding
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Solution Overview
Problem
Existing projection systems struggle with accurately adjusting images on curved surfaces, such as automobile windshields, due to distortion, leading to misinterpretation of pixel coordinates and reduced measurement accuracy.
Innovation Solution
A projection device with an output image adjustment system that projects and captures calibration images with alternating colors in orthogonal directions, allowing for precise coordinate adjustment based on captured data to correct for distortion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a calibration image with uniform color points is projected onto a curved surface, then the projection can be completed, but the measurement accuracy of pixel coordinates deteriorates due to distortion and misinterpretation
Solution Approach 1:
The patent applies color changes by assigning different color types (first, second, third, fourth colors) to points based on their position and adjacent relationships in the calibration image. This color coding scheme allows the image processing unit to distinguish between different point types and correctly interpret their coordinates even after projection distortion, thereby maintaining measurement precision
Solution Approach 2:
The patent introduces color information as an intermediary element between the geometric position and the coordinate identification. The color type serves as a mediator that carries additional information about the point's position and relationships, enabling accurate coordinate measurement despite distortion on curved surfaces
2Adaptability or versatility
If the projection device projects images onto curved surfaces like windshields, then the images can be displayed in the desired location, but distortion occurs leading to reduced measurement accuracy
Solution Approach 1:
The patent applies local quality by making different points in the calibration image have different color types based on their local position and adjacent relationships. This local differentiation allows the system to track and measure coordinates accurately at each specific location even when the overall image is distorted on the curved projection surface
Solution Approach 2:
By varying colors locally across the calibration image based on point positions and adjacencies, the system creates a color-coded map that preserves coordinate information through distortion, enabling accurate measurement on versatile projection surfaces
3Measurement precision
If traditional calibration methods are used without color differentiation, then the system is simpler, but coordinate interpretation becomes ambiguous and inaccurate
Solution Approach 1:
The patent uses color changes as an information encoding mechanism that adds measurement capability without requiring complex hardware modifications. The color differentiation provides rich coordinate information that simplifies the interpretation process compared to traditional methods that would require more complex geometric analysis
Data Source
AI summary
An output image adjustment device comprises: a projection unit that projects, on a projection target, a calibration image including groups of points representing coordinates in a first direction and a second direction intersecting the first direction, each of the points having a same type of color as a point adjacent in the first direction and a different type of color from a point adjacent in the second direction; an imaging unit that captures the calibration image projected on the projection target; and an image adjustment unit that adjusts coordinates of a calibrated image to be projected by the projection unit based on captured image data captured by the imaging unit.