A GENERALIZED NON-LINEAR METHOD FOR DISTORTION CORRECTION AND TOP-DOWN VIEW CONVERSION OF FISH EYE IMAGES

• DOI: 10.5566/ias.1660
• Publication Date: 2017-06-23T03:46:11Z
• Authors: Vivek Singh Bawa; Krishan Kumar; Vinay Kumar
• Keywords: Distortion (music); Field of view

Advanced driver assistance systems (ADAS) have been developed to automate and modify vehicles for safety better driving experience. Among all computer vision modules in ADAS, 360-degree surround view generation of immediate surroundings the vehicle is very important, due application on-road traffic assistance, parking etc. This paper presents a novel algorithm fast computationally efficient transformation input fisheye images into required top down view. also generalized framework generating captured by cameras with fish-eye lenses mounted on vehicles, irrespective pitch or tilt angle. The proposed approach comprises two major steps, viz. correcting lens rectilinear images, top-view perspective corrected images. possess barrel distortion, which nonlinear non-iterative method used. Thereafter, homography used obtain top-down targets develop wider distortion less field camera independent view, minimum computation cost essential limited power vehicles.