The invention relates to a cascade regression-based face key point positioning method. The cascade regression-based face key point positioning method includes the following steps that: 1) a large number of face image data are acquired, and an initial key point position is marked; 2) the face image data are trained, and a coarse regression machine can be obtained through learning, and then with the output of the coarse regression machine adopted as input, a fine regression machine can be obtained through learning; and 3) face image data to be recognized are given, and the initial shape of a face is regressed to the vicinity of a real shape through the coarse regression machine, and then, with the output of the coarse regression machine adopted as input, the precise coordinates of a face key point can be obtained through the fine regression machine. According to the cascade regression-based face key points positioning method of the invention, a coarse-to-fine cascade regression algorithm is adopted, and a large number of samples are learned, and multi-feature fusion and multiple-regression machine fusion are realized, and therefore, the speed and the robustness of the algorithm are improved greatly, and the face key point can be excellently positioned under the situations of occlusion, low lightness and poses such as side faces, and the accuracy and the speed of face key point positioning can be effectively improved.