Dynamic Spatial Frequency Adjustment for Stereo Calibration
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Solution Overview
Problem
Conventional image processing techniques for stereo methods fail to stably extract feature points due to inadequate consideration of image-capturing distance, leading to inaccurate calibration and distance data calculation.
Innovation Solution
An image processing apparatus and method that acquires and synthesizes images corresponding to various spatial frequencies, generating a second image suitable for different image-capturing distances, allowing stable feature point extraction by adjusting spatial frequency components based on the distance between the camera and the pattern.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a conventional random pattern is used without considering image-capturing distance, then the pattern generation is simple, but feature point extraction becomes unstable
Solution Approach 1:
The patent applies parameter changes by adjusting the spatial frequency of the random pattern based on the image-capturing distance. When the distance is large, higher spatial frequencies are used; when the distance is small, lower spatial frequencies are used. This dynamic adjustment of the spatial frequency parameter ensures that feature points remain extractable across varying distances, resolving the contradiction between simple pattern generation and stable feature extraction.
2Device complexity
If the spatial frequency of the random pattern is fixed, then the pattern generation is straightforward, but accurate measurement across different distances cannot be achieved
Solution Approach 1:
The patent implements dynamics by making the spatial frequency of the random pattern adaptable to the image-capturing distance. Instead of using a fixed spatial frequency, the system dynamically adjusts the spatial frequency parameter according to the actual measurement distance, enabling accurate three-dimensional measurements across varying distances while maintaining reasonable system complexity.
3Ease of operation
If a single random pattern is used for all distances, then the system is simple to operate, but feature points cannot be stably extracted at varying distances
Solution Approach 1:
The patent resolves this contradiction by automatically adjusting the spatial frequency parameter based on the image-capturing distance. The system maintains ease of operation through automated parameter selection while ensuring reliable feature point extraction by matching the spatial frequency to the appropriate distance range, eliminating the need for manual pattern selection.
Data Source
AI summary
An image processing apparatus includes: an acquisition unit that acquires a plurality of first images that correspond to a plurality of spatial frequencies on a one-to-one basis; and a generation unit that generates a second image by synthesizing the first images acquired by the acquisition unit.