Abstract
The paper researches on the relationship between image quality and the performance of interest point detection. In this paper, we use the image quality metrics and interest point repeatability as the measures of image quality and the performance of interest point detection respectively. Considering the differences of image's scene and quality degradation factor, nine images covering three kinds of classic scenes are selected as the experiment data, and they are respectively contaminated by Gaussian blur and Gaussian noise. The results show that image quality metrics and the repeatability have a certain quantitative relationship, and the repeatability is reduced with the decrease of image quality metrics. Moreover, the relationship can be simulated by some simple functions such as linear and exponential model when the image's scene and degradation factor are fixed.
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