Based on Corner Feature KLT Track Panoramic Mosaic Algorithm

Abstract

Virtual reality technology is widely used in the fields of aerospace, robot teleoperation and biology medical and so on, and has become an important research way. The panoramic mosaic is an important part of virtual reality. The SUSAN detector was used to extract the feature corner from the images, and fast RANSAC algorithm was used to register the images approximately. Then the detected corners were regarded as moving objects in the images, located accurately by the KLT track algorithm, and accurate homography matrix between the two images was obtained. The method of getting rid of ghost was used in the image mosaic process. The result shows that the accuracy of registration is improved greatly and the method is robust.