Camera calibration with genetic algorithms

摘要: We present an approach based on genetic algorithms for performing camera calibration. Contrary to the classical nonlinear photogrammetric approach, proposed technique can correctly find near-optimal solution without need of initial guesses (with only very loose parameter bounds) and with a minimum number control points (7 points). Results from our extensive study using both synthetic real image data as well performance comparison Tsai's procedure (1987) demonstrate excellent in terms convergence, accuracy, robustness.