Camera self-calibration method based on genetic algorithm

Generally speaking,the process of camera self-calibration is very difficult because camera self-calibration often requires solving non-linearity of the multi-dimension equations.Therefore,a new self-calibration method for camera is introduced based on genetic algorithm.The target function is gotten by building relative constraints,thus the all internal and external parameters of the camera is acquired which used matlab,by solving the minimum value of the target function from several characteristic points of two or more images.Because the method needs not the external information of the camera,it can be used in sequences of images.Experimental results show that the proposed method is simple,effective and fast,so the method can become a tool for camera calibration.