A remains 3D reconstruction method based on a frontal image is characterized by a single picture 3D face reconstruction technology based on a statistical model. The method comprises creating a 3D facestatistical model based on a 3D face database in advance, and training a 2D face feature point parameter model by using a SDM algorithm based on a 2D face database. During the face reconstruction based on a single frontal image, the face feature points are extracted first by using a two-dimensional image feature point parameter model; then, an energy function is subjected to iterative optimization by an learning factor adaptive gradient descent method based on the three-dimensional face statistics model to obtain the parameterized vector of the statistical model, that is, the three-dimensional face model corresponding to the two-dimensional face image is obtained. Results show that the face reconstructed by the method has high similarity.