Study on Camera Calibration for Binocular Vision Based on Genetic programming
Yuan Hongbo, Zhenjiang Cai, Man Cheng, Liai Gao · 2007
In view of the camera calibration existent questiones, on the basis of Stereo Vision, a new method of camera calibration for binocular vision based on genetic programming is proposed. It is used to learn the relationships between the image information and the 3D information. For two-cameras system, the complicated relation between the cameras is established by training the genetic programming without the parameters of the cameras calibrated. It neither requires an accurate mathematical model nor needs any prior knowledge about the parameters. The 3D information of target is achieved from genetic programming output. The results of the experiment showed that this method was more accurate with traditional visual calibration methods.