Binocular Vision Projection Correction System
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Solution Overview
Problem
Existing projector systems face challenges in accurately correcting distorted projection images, particularly when the projector deflects horizontally, as they rely on acceleration sensors that are costly and complex to implement, limiting their ability to measure deflection angles in both vertical and horizontal directions effectively.
Innovation Solution
A projection image automatic correction method and system based on binocular vision, which uses three-dimensional reconstruction and reverse transformation to correct distortion images, allowing for flexible and efficient correction of projection images without being limited by the projection area, utilizing two cameras symmetrically arranged on either side of the projector to capture depth maps and calculate transformation relationships.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If acceleration sensors are used to measure deflection angles in vertical direction, then correction accuracy is improved, but device complexity and cost increase when horizontal direction measurement is needed
Solution Approach 1:
The patent replaces the mechanical sensor-based measurement system with an optical vision system. Two cameras capture images of the projection screen, and computer vision algorithms calculate the projection surface geometry and deflection angles. This substitution eliminates the need for multiple acceleration sensors while achieving the same measurement functionality through optical fields and image processing.
Solution Approach 2:
The patent introduces an intermediary computational model that maps camera image coordinates to real-world projection screen coordinates. This intermediary system uses vanishing points, homography matrices, and depth information as mediators to translate visual data into accurate deflection angle measurements, avoiding direct mechanical sensing.
2Adaptability or versatility
If multiple acceleration sensors are deployed to measure horizontal and vertical deflection, then measurement capability is improved, but input cost and structural design difficulty increase
Solution Approach 1:
The patent makes the camera system multi-functional by enabling it to perform both horizontal and vertical deflection measurements simultaneously through a single unified vision system. The same camera setup and image processing pipeline handle all measurement tasks that would otherwise require multiple specialized sensors, achieving versatility without increasing component count.
Solution Approach 2:
The patent merges the functionality of multiple acceleration sensors into a single integrated vision-based measurement system. By combining both horizontal and vertical deflection detection capabilities into one camera system with unified processing, the patent simplifies the overall structure while maintaining comprehensive measurement adaptability.
3Productivity
If traditional trapezoidal correction algorithms are used, then correction speed is improved, but correction flexibility and accuracy are limited by projection area constraints
Solution Approach 1:
The patent implements a dynamic correction approach where the correction parameters are continuously updated based on real-time camera images and calculated deflection angles. Unlike static trapezoidal correction algorithms with fixed parameters, this system dynamically adapts to different projection areas, screen geometries, and deflection conditions, maintaining both speed and flexibility through real-time computation.
Solution Approach 2:
The patent changes the correction parameters based on the specific projection scenario by calculating actual deflection angles and screen geometry from camera images. Instead of using fixed trapezoidal correction parameters, the system dynamically adjusts correction parameters according to the measured projection area and orientation, achieving high flexibility while maintaining efficient processing through parameter optimization.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables high-efficiency automatic correction of projection images with increased flexibility, simplifying the correction process and reducing structural and cost complexities, while maintaining high correction accuracy across various projection areas.
Implementation Method 1
A three-dimensional reconstruction of the projection image is performed based on the principle of binocular disparity
Data Source
AI summary
A projection image automatic correction method and system based on binocular vision. The method includes: acquiring a depth map of a projection image on a projection plane; calculating a first transformation relationship between a source image and the projection image; acquiring a distortion image according to the depth map; acquiring a correction image after correcting the distortion image; calculating a second transformation relationship between the distortion image and the correction image; acquiring a correction relationship between the source image and the correction image according to the first transformation relationship and the second transformation relationship; and correcting the projection image according to the correction relationship. This disclosure is configured to realize the efficient automatic correction of the projection image without being limited by the projection area, and the correction flexibility is high.