Projector Image Correction Using Surface-Specific Pattern Selection
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Solution Overview
Problem
Existing image correction methods for projectors lack user convenience in selecting appropriate pattern images for correcting image shapes on projection surfaces, leading to inefficiencies in distortion correction.
Innovation Solution
An image correction method that allows users to select between two different methods for correcting image shapes, using distinct pattern images to generate correction data based on captured images, tailored for first-type and second-type projection objects with and without defined contours.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single pattern image is used for image correction, then the correction process is simple, but the adaptability to different projection surfaces and correction methods is insufficient
Solution Approach 1:
The system provides multiple pattern images (first pattern image with grid pattern for first-type objects, second pattern image with contour markers for second-type objects) that can be universally applied to different projection surfaces. The information processing apparatus automatically selects the appropriate pattern based on the projection object type, making the system adaptable to various surfaces without requiring manual pattern selection
Solution Approach 2:
The system dynamically switches between different pattern images based on the detected type of projection object. The information processing apparatus determines whether the projection object is a first-type object (without defined contour) or second-type object (with defined contour) and automatically selects the corresponding pattern image, making the system flexible and adaptive without fixed configuration
2Manufacturing precision
If multiple pattern images are provided for different correction methods, then the correction accuracy improves, but the operation complexity increases
Solution Approach 1:
The information processing apparatus performs self-service by automatically determining the projection object type and selecting the appropriate pattern image without user intervention. The system autonomously chooses between the first pattern image for trapezoidal distortion correction and the second pattern image for projection range adjustment, eliminating the need for users to manually select patterns and simplifying operation
Solution Approach 2:
The system prepares multiple pattern images in advance (first pattern image with grid pattern, second pattern image with contour markers) and pre-configures their respective uses. The information processing apparatus has beforehand determined which pattern to use based on the projection object type, so when correction is needed, the appropriate pattern is already ready and selected, improving both accuracy and operational ease
3Reliability
If different pattern images are used for first-type and second-type projection objects, then the correction effectiveness increases, but the system complexity increases
Solution Approach 1:
The system segments the projection objects into two categories: first-type objects (without defined contour, requiring trapezoidal distortion correction) and second-type objects (with defined contour, requiring projection range adjustment). Each segment is assigned a specific pattern image optimized for its characteristics, improving correction effectiveness while managing complexity through clear categorization
Solution Approach 2:
Different pattern images are applied to different types of projection objects based on their specific characteristics. The first pattern image with grid pattern is locally optimized for surfaces without defined contours, while the second pattern image with contour markers is locally optimized for surfaces with defined contours. This localized optimization improves correction reliability for each object type
Data Source
AI summary
An image correction method according to an aspect of the present disclosure includes receiving an input of selecting one of a first method for correcting a shape of an image projected from a projector onto a projection surface and a second method that is a method for correcting the shape of the image and is different from the first method, outputting a signal for causing the projector to project a first pattern image when the first method is selected, generating first correction data for correcting the shape of the image using the first method based on a first captured image that is acquired by imaging the projection surface and includes the projection surface and a first projection image appearing on the projection surface by projecting the first pattern image, outputting a signal for causing the projector to project a second pattern image different from the first pattern image when the second method is selected, and generating second correction data for correcting the shape of the image using the second method based on a second captured image that is acquired by imaging the projection surface and includes the projection surface and a second projection image appearing on the projection surface by projecting the second pattern image.