An improved vehicle panoramic image generation algorithm

Abstract

In order to reduce the traffic accidents caused by the blind area, vehicle panoramic view system has been paid more and more attention. However, the panoramic system is a complex and difficult system. In this paper, we propose an improved vehicle panoramic image generation algorithm. Several key technologies have been improved to ensure reliability and efficiency. First of all, we improve the spherical perspective projection algorithm (SPP) based on the scanning line idea and bilinear interpolation to rectification the fisheye image. Then the inverse perspective projection mapping of undistorted image is used to obtain a top view. In order to reduce computation, the method of manually selecting the target point is carried out. Finally, SURF algorithm is used to find the feature points between the bird’s-eye view images around vehicle. We further put forward to utilize a RANSAC algorithm based on block matching to eliminate the mismatched points in the key point matching process. Experimental results indicate that our vehicle panoramic image generation method works efficiently. The proposed algorithm can effectively remove the serious distortion of fisheye lens, and generate a panoramic image around the vehicle in the end. It possesses good robustness, and can be widely used.