Multi-view two-dimension facial feature point automatic positioning method

The invention relates to the technical field of the computer applications and the computer view, in particular to a multi-view two-dimension facial feature point automatic positioning method. The multi-view two-dimension facial feature point automatic positioning method comprises training and testing stages; the training stage comprises the following steps of firstly dividing a training data set containing a multi-view facial image into a plurality of training sub-sets; secondly training a single-view feature point positioning engine, namely training a cascading regression feature point positioning engine aiming at every training sub-set in every step. The multi-view two-dimension facial feature point automatic positioning method improves the robustness of feature point positioning under every view and can detect feature points of two-dimension facial images with the horizontal deflection angle from minus 90 degrees to 90 degrees.