1. A three-dimensional (3D) human face reconstruction method, comprising: obtaining a two-dimensional (2D) human face image for 3D human face reconstruction, and determining feature points on the 2D human face image, wherein the feature points are representative of a human face contour; determining posture parameters of a human face by using the feature points, and adjusting, based on the posture parameters, a posture of a general 3D human face model obtained in advance; determining points on the general 3D human face model corresponding to the feature points, and adjusting corresponding points in a blocking state to obtain a preliminary 3D human face model; performing deformation adjusting on the preliminary 3D human face model to obtain a deformed 3D human face model, so that a positional relationship among the corresponding points on the deformed 3D human face model is consistent with a positional relationship among the feature points on the 2D human face image; and performing texture mapping on the deformed 3D human face model to obtain a 3D human face, wherein adjusting the corresponding points in the blocking state to obtain the preliminary 3D human face model comprises: determining a plane in which the corresponding points in the blocking state are located, the plane being perpendicular to the longitudinal axis of the human face; determining an intersection track between the plane and the general 3D human face model; and moving the corresponding points to the outermost end of the intersection track, and wherein the method is performed by one or more processors.