Real-Time Projection Correction via Outline Inclination Detection
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Solution Overview
Problem
Traditional projector systems suffer from trapezoid distortion issues due to included angle problems, and existing correction methods are not suitable for real-time correction, especially in mobile devices where micro projectors are not fixed and may shake, making time-consuming and complex calculations impractical.
Innovation Solution
A system and method that includes a projection unit, an image capturing unit, and an image processing unit to capture projection images, analyze image transformation information, and pre-warp original images based on horizontal and vertical inclinations to correct projection images in real-time, without requiring complicated coordinate calculations or additional elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional coordinate transformation methods are used to correct projection images, then correction accuracy is improved, but calculation time increases and real-time correction becomes impossible
Solution Approach 1:
The patent extracts only the essential correction parameters (horizontal inclination and vertical inclination) from the complex coordinate transformation process. By capturing the projection image outline and calculating only these two inclination angles, the system achieves accurate correction without performing full coordinate transformations of multiple points, thus resolving the contradiction between correction accuracy and calculation time.
Solution Approach 2:
The patent performs preliminary capture of the projection image outline and calculates the inclination angles in advance before actual image correction is needed. This preliminary action allows the system to prepare correction parameters proactively, enabling real-time correction when the actual projection image needs to be corrected, thereby reducing calculation time while maintaining accuracy.
2Measurement precision
If complex coordinate transformation matrices are calculated to correct distorted images, then correction precision is improved, but device complexity and computation load increase
Solution Approach 1:
The patent extracts only the necessary correction information (outline coordinates and inclination angles) from the complex coordinate transformation process. By calculating only horizontal and vertical inclinations rather than full transformation matrices for multiple points, the system achieves sufficient correction precision with significantly reduced computation load, making it suitable for mobile devices with limited processing power.
Solution Approach 2:
The patent performs partial correction by focusing only on the outline points of the projection image rather than transforming every pixel. This partial action approach achieves acceptable correction precision for the entire image by correcting only the boundary elements, thereby dramatically reducing computation load while maintaining sufficient visual quality.
3Measurement precision
If multiple point coordinate calculations are performed to obtain projector posture, then correction accuracy is improved, but processing speed decreases
Solution Approach 1:
The patent extracts only the outline points of the projection image for posture calculation rather than using multiple points across the entire image. By calculating horizontal and vertical inclinations based solely on the outline coordinates, the system achieves sufficient posture accuracy with significantly fewer calculations, thereby improving processing speed while maintaining correction quality.
Data Source
AI summary
A method for projection correction includes following steps. An original image is projected as a projection image on an object. A projection-zone image including the projection image is captured from the object. A projection image outline corresponding to the projection image is obtained from the projection-zone image. An operation is performed on the projection image outline to obtain a horizontal inclination and a vertical inclination. The original image is pre-warped according to the horizontal inclination and the vertical inclination to obtain a corrected image, and the corrected image is projected on the object.