Image Projection System Noise-Resistant Distortion Correction
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Solution Overview
Problem
Existing image projection systems struggle to correct image distortion on non-flat, three-dimensional projection surfaces due to noise in three-dimensional measurement technologies, leading to insufficient distortion correction.
Innovation Solution
An image projection system controlling method that estimates normal vectors in regions of the projection surface, calculates an average normal vector and a vector with the largest dispersion, and uses these to estimate a reference plane, generating correction information for an imaginary projection surface to correct image distortion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If three-dimensional measurement technology is used to measure the projection surface shape, then the shape information can be obtained, but noise is introduced into the measurement data resulting in insufficient distortion correction
Solution Approach 1:
The projection surface is divided into multiple regions, and normal vectors are calculated for each region separately. This segmentation allows the system to handle measurement noise locally rather than globally, improving the overall reliability of distortion correction while maintaining measurement precision.
Solution Approach 2:
The patent transforms the three-dimensional measurement data into a two-dimensional reference plane by calculating average normal vectors and projecting points onto this plane. This dimensional reduction eliminates noise components in the third dimension while preserving the essential geometric information needed for distortion correction.
2Adaptability or versatility
If distortion correction is applied based on noisy measurement data, then image projection on complex surfaces is attempted, but the correction is insufficient due to noise
Solution Approach 1:
The system performs preliminary calculations of normal vectors and average normal vectors before generating the final distortion correction. This preliminary processing of measurement data allows the system to adapt to various projection surfaces while filtering out noise, ensuring both versatility and precision.
Solution Approach 2:
The patent introduces an intermediate reference plane as a mediator between the noisy three-dimensional measurement data and the final distortion correction. This reference plane, defined by average normal vectors, serves as a noise-filtered intermediate representation that enables accurate correction while maintaining adaptability to different surfaces.
3Reliability
If normal vectors are calculated for each region and averaged, then noise impact is reduced, but calculation complexity increases
Solution Approach 1:
The projection surface is divided into multiple regions for calculating normal vectors. While this segmentation increases processing steps, it systematically reduces noise impact by localizing calculations. The structured approach to segmentation makes the increased complexity manageable and justifiable by the improvement in correction reliability.
Solution Approach 2:
The patent merges individual normal vectors from multiple regions into an average normal vector. This merging operation consolidates the results from segmented regions, reducing noise through averaging while organizing the complexity into a unified processing framework that generates the reference plane for distortion correction.
Data Source
AI summary
A projector is provided with a correction information generator and an image information corrector described below. The correction information generator estimates a reference plane having a normal vector that is the cross product of the average of normal vectors in N regions in the result of measurement of the shape of a projection surface and a first vector corresponding to a component having the largest degree of dispersion among the N normal vectors. The correction information generator estimates an imaginary projection surface by causing the result of projection of the projection surface on the reference surface to rise upright with respect to the reference surface and generates image correction information based on the imaginary projection surface. The image information corrector generates correction image information from image information on a projection image and the correction information. The projector projects an image based on the correction image information on the projection surface.