Face model compression method

A face model data compression method belongs to the technical field of face model data compression. The face model data compression method is characterized by comprising the following steps: establishing a multi-person face model and a special-person face model according to a face image training library; performing location and parametric representation of a face in a video by using the face models to obtain a face model parameter vector; performing linear subspace transformation on an average appearance vector in special-person face model data and the parameters of an appearance vector change mode matrix in a linear subspace to obtain a projection parameter matrix; reconstructing the parameters of the special-person face model according to the projection parameter matrix, calculating the residual error between the reconstructed parameters and an original model, and performing quantization and coding compression to obtain a compressed special-person face model. General face appearance features are extracted through the analysis of a face database based on a principal component analysis method. The space dimension of special-person face model appearance parameters is reduced, storage space is saved, and the amount of data transferred is reduced.