Image Processing Apparatus Distortion Correction via Pattern Feature Points
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Solution Overview
Problem
Conventional methods face challenges in accurately correcting image distortions due to environmental influences, as the detection of projection surfaces is not always precise.
Innovation Solution
An image processing system that projects and photographs specific pattern images, using feature points to calculate correction information by transforming and aligning coordinates, thereby correcting distortions with high accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods are used to detect projection surfaces, then the detection process is simple, but the detection accuracy deteriorates due to environmental influences
Solution Approach 1:
The patent introduces a pattern image as an intermediary object between the projector and the projection surface. This pattern image contains feature points that serve as reliable reference markers for detection. By projecting this known pattern and detecting its distortion on the surface, the system can accurately calculate projection surface information even under environmental influences, resolving the contradiction between simple detection and accurate measurement.
2Measurement precision
If pattern images with feature points are projected and photographed, then the correction accuracy improves, but the system complexity increases
Solution Approach 1:
The patent segments the pattern image into multiple feature points with known coordinates arranged in a grid pattern. This segmentation allows the system to detect multiple reference points across the projection surface, improving accuracy through multiple measurement points. The structured arrangement of feature points simplifies the detection process while maintaining high precision, effectively managing the trade-off between accuracy and complexity.
3Measurement precision
If multiple feature points are used for calculation, then the correction information accuracy improves, but the processing complexity increases
Solution Approach 1:
The patent transforms the coordinate system from the photographed image space to the projection target image space using mathematical transformation formulas. By changing the parameter representation (coordinates) and using known feature point arrangements, the system can accurately calculate distortion correction information. The use of standardized transformation equations simplifies the processing of multiple feature points while maintaining high accuracy.
Data Source
Figure 1
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AI summary
A projection control unit controls projecting a first pattern image including first feature points and a second pattern image including second feature points. An acquisition unit acquires, from a photographing unit, a first photographed image of the first pattern image and a second photographed image of the second pattern image. An extraction unit extracts second connected components in which the second feature points in the second photographed image are connected in a predetermined direction and first connected components in which the first feature points in the first photographed image at positions corresponding to the second feature points included in the second connected components are connected. A shift amount calculation unit calculates shift amounts of the first connected components with respect to the second connected components. A first calculation unit calculates first correction information for correcting a projection target image based on the shift amounts.