The invention discloses a single-picture three-dimensional face reconstruction method based on a cascade regression network. The whole single-picture three-dimensional face reconstruction method includes the steps of 1, data preparation, wherein three-dimensional face data is collected, and a three-dimensional face-shape point cloud of a face picture is obtained; 2, model designing, wherein a network model comprising two-stage multitask convolutional neural networks is established, face features are regressed step by step, and then modified shape features are extracted; 3, model training, wherein the two-stage multitask convolutional neural networks are trained respectively, and a multitask cascade regression convolutional neural network M is obtained; 4, model testing, wherein an image Iis input into the multitask cascade regression convolutional neural network M, and model testing is carried out. According to the single-picture three-dimensional face reconstruction method based on the cascade regression network, the multitask cascade regression convolutional neural network M is used, a three-dimensional face shape, face feature points and a face posture are regressed step by step, and meanwhile a traditional feature extracting method is improved; by computing visibility of the feature points, the confusion performance of the feature points on a two-dimensional face picture is eliminated, and the single-picture three-dimensional face reconstruction method is more robust for large gestures.