A Camera Self-Calibration for Machine Vision Based on Kruppa's Equation

A camera self-calibration algorithm based on the Kruppas equation has been put forward by decomposing the fundamental matrix on the basis of computing the geometrical static moment. The fundamental matrix could be estimated through the normalized 8 points algorithm in which the centroid of the irregular polygon was calculated by computing the geometrical static moment. The five intrinsic parameters of a camera were calculated in accordance with the optimal target function established from the simplified Kruppas equation and the linear equation about the five internal parameters of a camera. The experiment showed that the five intrinsic parameters of a camera could be realized by this method.