Image Matching Device Resolution Regulation
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Solution Overview
Problem
Existing image matching techniques using phase-only correlation struggle to appropriately regulate the resolution of correlation coefficient maps, leading to inconsistent matching accuracy and failure in distinguishing identical from different individuals due to inappropriate resolution settings based on cross power spectrum frequencies.
Innovation Solution
An image matching device and method that automatically determines the minimum necessary resolution for correlation coefficient maps separately from frequency components, allowing for precise regulation of resolution to enhance matching accuracy and reduce calculation data while ensuring speedy processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the resolution of correlation coefficient map is determined based on frequency components from cross power spectrum, then the calculation amount is reduced, but the matching accuracy becomes inconsistent and unreliable
Solution Approach 1:
The patent separates the resolution determination from frequency component extraction. The resolution of correlation coefficient map is independently determined based on image characteristics rather than being tied to frequency band selection, allowing independent optimization of both calculation efficiency and matching accuracy
Solution Approach 2:
The patent introduces a parameter (resolution) that can be independently adjusted from frequency components. By changing the resolution parameter separately from frequency band selection, the system can optimize matching accuracy without being constrained by frequency-based resolution determination
2Reliability
If low-frequency components are extracted to increase robustness against noise, then the resolution of correlation coefficient map decreases, but the matching reliability becomes inconsistent
Solution Approach 1:
The patent decouples the noise robustness function (achieved through low-frequency extraction) from the resolution function. By determining resolution independently from frequency component selection, the system maintains noise robustness while ensuring adequate resolution for reliable matching
Solution Approach 2:
The patent enables dynamic adjustment of resolution based on actual matching requirements rather than static frequency-based determination. This allows the resolution to be adapted to maintain reliability while accommodating varying noise conditions and matching demands
Data Source
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AI summary
An image matching device that performs matching between a first image and a second image includes: a frequency characteristic acquisition unit configured to acquire a frequency characteristic of the first image and a frequency characteristic of the second image; a frequency characteristic synthesizing unit configured to synthesize the frequency characteristic of the first image and the frequency characteristic of the second image to generate a synthesized frequency characteristic; a determination unit configured to perform frequency transformation on the synthesized frequency characteristic to calculate a correlation coefficient map whose resolution coincides with a target resolution, and perform matching between the first image and the second image based on a matching score calculated from the correlation coefficient map; and a regulation unit configured to regulate the target resolution based on the matching score.