Camera calibration based on improved differential evolution algorithm
Zhong Yue-xian · Optical Technique · 2004
Tsai's and Weng's two-stage methods with distortion model are often used in camera calibration. It is found that objective function has several local extremums, calibration parameters optimized with traditional optimization methods converge to a local extremum. Differential evolution is a new algorithm to get the global optima, its rate of convergence is faster than general evolution algorithm, but when the initial population is not good enough it might converge to local extremum quickly. An improved differential evolution algorithm is proposed, and together with two-stage calibration method, a new camera calibration method is established. Testing results using real data show that it improves calibration accuracy.