Virtual Image Correction Functions for Symmetric and Asymmetric Distortion

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Solution Overview

Problem

Existing VR, AR, and MR technologies face challenges in correcting image distortions caused by non-planar lenses, leading to user discomfort and dizziness, with existing methods being inefficient and limited to symmetric distortions.

Innovation Solution

A method to generate a correction function using sample object-side position coordinates and image-side field-of-view-angle coordinates to correct both symmetric and asymmetric distortions, reducing the complexity and improving efficiency in distortion correction.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If mathematical fitting algorithms are used for distortion correction, then correction capability is provided, but the processing complexity increases and efficiency decreases

Engineering Contradiction:
Improvedistortion correction capabilityVSAvoidfitting process complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent transforms the complex multi-parameter fitting problem into a simplified coordinate transformation problem by changing the parameters from multiple device parameters to just two coordinate systems (object-side and image-side coordinates), thereby reducing complexity while maintaining correction capability

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent extracts only the essential coordinate information needed for correction, separating it from the complex fitting process. By taking out just the coordinate pairs and applying direct transformation formulas, the solution eliminates unnecessary fitting complexity

Inventive Principle:
Principle #2Taking out (Extraction)

2Reliability

If traditional fitting algorithms are used, then symmetric distortion correction is achieved, but asymmetric distortion correction capability is lost

Engineering Contradiction:
Improvesymmetric distortion correctionVSAvoidasymmetric distortion correction capability
Core Design Contradiction:
ReliabilityVSAdaptability or versatility

Solution Approach 1:

The patent explicitly adopts asymmetric coordinate transformation formulas that can handle both symmetric and asymmetric distortions. The object-side to image-side coordinate transformation does not assume symmetry, allowing the system to correct asymmetric distortions caused by processing or assembly errors while still maintaining symmetric distortion correction capability

Inventive Principle:
Principle #4Asymmetry

3Measurement precision

If multiple input parameters are required for fitting, then comprehensive correction data can be obtained, but the operation process becomes cumbersome

Engineering Contradiction:
Improvecorrection data comprehensivenessVSAvoidparameter input complexity
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The patent creates a universal coordinate transformation formula that works for all pixels and all distortion types. This single formula handles both symmetric and asymmetric distortions, replacing the need for multiple specialized fitting procedures and numerous input parameters, thereby improving ease of operation while maintaining comprehensive correction

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250217947A1Methods for generating correction function, image correction methods and apparatuses
Publication Date: 2025.07.03 BOE TECHNOLOGY GROUP CO LTD
  • US20250217947A1 patent drawing
  • US20250217947A1 patent drawing
  • US20250217947A1 patent drawing

AI summary

A method for generating a correction function, an image correction method and apparatuses are provided. The method for generating a correction function includes determining a display device comprising an optical system and a display component, wherein a normal image displayed by the display component forms a distorted image through the optical system, and the distorted image is a virtual image; obtaining sample object-side position coordinates and corresponding sample image-side field-of-view-angle coordinates for the display device, wherein the sample object-side position coordinates are used to represent display positions of sample pixels of the normal image in the display component, and the sample image-side field-of-view-angle coordinates are used to represent field-of-view angles of sample virtual image points in the distorted image corresponding to the sample pixels; generating a correction function based on the sample object-side position coordinates and the sample image-side field-of-view-angle coordinates.