Abstract: A uniform mesh resampling based alignment algorithm is proposed to align prototypical 3D faces. This algorithm enables us to achieve aligning of 3D prototypes based on facial features. It is free of the weaknesses of conventional ones and precision. Improved genetic algorithm based model matching method is able to match morphable model to 2D facial images independently of initial values and gradient of object function, and is capable of global searching. Regulation of crossover and mutation probabilities during optimizing process effectively improves the convergent speed and precision of the algorithm. Experimental results show that this novel alignment algorithm effectively applied to align the prototypes, and improves precision of morphable model. The novel matching method effectively improves the e±ciency and precision of model matching, and shortens the time for the matching process.