Method of Key-Frame Selection for Video Images

Abstract

In order to improve the quality and efficiency of image processing and 3D reconstruction, a key frame screening method for video image is proposed. Firstly, the image degradation is performed by the normalized image sharpness evaluation function based on the image degradation caused by camera motion and key frame segmentation. Secondly, in order to avoid the problem of low accuracy and motion degradation of triangulation, the geometric robust information criterion GRIC was used as the screening condition to screen the results of shallow screening. The experimental results show that the three-dimensional reconstruction of the selected image sequence as the source image reduces the number of feature points, shortens the time of feature matching, and improves the efficiency of 3D reconstruction by 3.6 times.