计算机视觉中的图匹配方法研究

Research on graph matching method in computer vision

计算机视觉在各行各业得到广泛的运用,在图片转化中常常会使用到图匹配的方式来降低误差,提升视觉效果。通过将两张或两张以上的图进行对比分析,来提高计算机视觉分析的精密度和准确性。在长期的研究过程中出现了多种图匹配的方法,文章就不同的匹配方法进行综合论述,以期从中找到一些共同之处和创新点,为计算机的图匹配领域提供新的理论资料。

Computer vision is widely used in various industries, and graph matching is often used to reduce the error in the process of visual conversion. Through the comparative analysis of two or more diagrams, the precision and accuracy of computer vision analysis can be improved. In the long-term research process, there are many kinds of graph matching methods. In this paper, there are many kinds of graph matching methods in the process of long-term research. This paper discusses different matching methods in order to find some common points and innovations, and to provide new theoretical data for the field of computer graph matching.