Seamless 3D Surround View with a Novel Burger Model

Lin Zhang, Juntao Chen, Dongyang Liu, Ying Shen, Shengjie Zhao

Abstract: In recent years, the 3D surround view (3D-SV) system has become a hot research topic in the field of Advanced Driver Assistance Systems (ADAS). It can be used to form a stereoscopic view of the surrounding 3D environment by using 4 car-mounted surround cameras, and users can switch the viewpoints for virtual observation conveniently. However, there are still many problems in how to stitch calibrated images to the panoramic view and how to project the panorama to the surround view. In this paper, we introduce the graph cut algorithm and multi-band blending to the panorama stitching phase. In addition, we design a new hamburger-shaped 3D geometric model to be the carrier of the panorama for texture mapping. Our 3D-SV system can make drivers have an immersive visual experience. Experimental results show that the 3D-SV generated by our method is less distorted and looks more natural than the other competitors.