Research On Fast Vicdeo Mosaic Technology Based On Improved Harris Algorithm

Due to the limitations of their own perspective,a single camera can not get a series of high-definition video images.In order to solve problem,video mosaic technology begin to start.At the same time,along with the development of computer technology and progress,especially the development of machine vision,driver assistance systems,intelligent vehicle technology and automatic driving technology based on the rapid acquisition of panoramic video mosaic image of the surrounding environment,it is widely concerned by academia and industry.In this paper,we will study the method of multi-channel video synchronization.In this paper,we study the splicing performance of fast video mosaic algorithm and the effect of stitching:(1)In this paper,the common CCD camera is used to compose the video capture unit,and the synchronization problem of multi camera acquisition channel is studied.At the same time,the pre-processing of the input video image,eliminate the image quality because of external light and perspective the camera itself is not high and the distortion problem,effective optimization of the splicing quality.(2)This paper analyzes the registration method based on the traditional Harris corner algorithm and SIFT feature algorithm.The algorithm based on SIFT feature has high accuracy,but the experimental process is complex,which cannot meet the rapid video stitching.Based on the Harris corner registration algorithm,the complexity is low,and the experimental time is short.Finally,the paper decides to use Harris image mosaic algoritlhm based on corner point detection,and specific problems of low accuracy,complex operation of the original Harris,improved and optimized,without reducing the matching quality at the same time,speed.(3)In addition,fusion in video,this paper adopts two step processing method,the distribution,combined with the method of linear fusion,the fusion method can be used in this experiment,to achieve a rapid video stitching.As the key point of video mosaic,the registration and fusion of video images play an important role.In order to meet the rapid video stitching,this paper improves the original Harris algorithm,the more reasonable isotropic Sobel corner processing,at the same time,using four neighborhood discriminant method,fast feature selection,accelerate the algorithm running rate.In order to improve the algorithm,this paper makes a series of experiments,and the results show that the improved algorithm is effective.