Projection Image Calibration Using External Imaging Devices

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Solution Overview

Problem

Existing projection systems face challenges in accurately calibrating parameters when external imaging devices are used, leading to decreased user convenience due to the need for manual calibration of changing parameters related to the positional relationship between devices.

Innovation Solution

A method and system that utilizes a first and second imaging device to capture images of a projection surface, acquiring projective transformation matrices to adjust projection images based on plane parameters, allowing for automatic calibration without manual intervention.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If external imaging devices are used instead of incorporated imaging units, then device flexibility and adaptability are improved, but parameter calibration complexity and user operation difficulty increase

Engineering Contradiction:

Improvedevice flexibilityVSAvoiduser convenience

Core Design Contradiction:

Adaptability or versatilityVSEase of operation

Solution Approach 1:

The system automatically calculates and determines the projective transformation matrix using captured images from external imaging devices, eliminating the need for manual parameter calibration. The processor autonomously performs the complex calibration computations that would otherwise require user intervention, allowing the system to self-adjust to different device configurations.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system performs automatic parameter calibration immediately upon device setup by capturing images and computing transformation matrices before actual projection begins. This preliminary automatic calibration eliminates the need for users to perform manual calibration procedures beforehand, streamlining the setup process while maintaining adaptability to different external imaging devices.

Inventive Principle:

Principle #10Preliminary action

2Measurement precision

If manual calibration of positional parameters is required, then measurement precision may be improved, but time consumption and operation complexity increase

Engineering Contradiction:

Improveparameter calibration accuracyVSAvoidcalibration time

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system replaces manual mechanical calibration procedures with an automated computational process. The processor automatically calculates the projective transformation matrix by processing captured images, substituting the need for manual parameter adjustment and measurement with algorithmic computation that achieves both precision and speed.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system introduces captured images as an intermediary medium between the imaging devices and the projection system. By using these images as a reference for automatic calculation of transformation matrices, the system eliminates direct manual parameter input while maintaining accurate calibration through image-based computational methods.

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS12501008B2Projection image adjustment method, projection system, and non-transitory computer-readable storage medium storing information processing program

Publication Date: 2025.12.16 SEIKO EPSON CORP

AI summary

A projection image adjustment method includes: acquiring a first captured image corresponding to a first device including a first lens by capturing an image of a plane projection surface on which a first pattern image including at least four unit images is projected from a first projection device; acquiring a second captured image corresponding to a second device including a second lens by capturing an image of the projection surface; acquiring, based on the first captured image and the second captured image, a projective transformation matrix indicating transformation from a first coordinate system in a first device to a second coordinate system in a second device; and acquiring a plane parameter of the projection surface by using the projective transformation matrix.