Projector Trapezoidal Distortion Correction via Undistorted Detection
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Solution Overview
Problem
Existing projector technologies face challenges in maintaining high accuracy and speed for trapezoidal distortion correction after the initial correction, as subsequent corrections are influenced by previous transformations, leading to decreased precision and efficiency.
Innovation Solution
A projector system that includes a projection unit, an imaging unit, and a correction control unit, which projects a distortion detection image without transformation, captures it, and acquires new correction information to perform subsequent distortion corrections based on this information, ensuring high accuracy and speed by avoiding the influence of previous corrections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If trapezoidal distortion correction is performed multiple times, then distortion correction can be maintained after projector movement, but the accuracy and speed of correction deteriorates due to repeated transformations
Solution Approach 1:
The patent applies preliminary action by projecting a distortion detection image before performing distortion correction. This allows the system to detect the actual distortion state on the projection surface without being influenced by previous correction transformations. The distortion detection image is projected in an undistorted state, captured by the imaging unit, and used to calculate correction information that accurately reflects the current projector position and angle, thereby maintaining high correction accuracy even after multiple corrections.
2Reliability
If trapezoidal distortion correction is performed multiple times, then distortion correction can be maintained after projector movement, but the correction speed deteriorates
Solution Approach 1:
The patent uses preliminary action by capturing the distortion detection image before applying correction transformations. This allows the system to obtain accurate distortion information directly from the projection surface without undergoing multiple sequential transformations. By calculating correction information based on the captured undistorted image, the system achieves both high accuracy and high speed in subsequent distortion corrections, eliminating the speed deterioration that would occur with repeated transformations.
3Shape
If the distortion detection image is transformed by the distortion correction unit, then the image can be corrected, but the correction information acquisition is influenced by previous transformations reducing accuracy
Solution Approach 1:
The patent applies the inversion principle by reversing the conventional approach. Instead of transforming the distortion detection image through the distortion correction unit and then capturing it, the patent projects the undistorted distortion detection image directly onto the projection surface and captures it in its original state. This inversion ensures that the captured image reflects the actual distortion on the surface without being altered by previous correction transformations, thereby acquiring accurate correction information for maintaining image shape.
Data Source
AI summary
A projector includes a projection unit, an imaging unit, a correction control unit acquiring first correction information based on a first captured image acquired by capturing a distortion detection image projected onto a projection surface, and a distortion correction unit performing distortion correction based on the first correction information. The correction control unit, in a case where second distortion correction needs to be performed after the distortion correction unit, performs first distortion correction based on the first correction information, allows the projection unit to project the distortion detection image without transforming the distortion detection image by using the distortion correction unit allows the imaging unit to capture the projected distortion detection image so as to be acquired as a second captured image, acquires second correction information based on the second captured image, and allows the distortion correction unit to perform the second distortion correction based on the second correction information.