1. A method for automatic facial impression transformation, comprising: extracting landmark points for elements of a target face whose facial impression is to be transformed as well as distance vectors respectively representing distances of the landmark points; selecting a learning data set similar to the target face from a database by comparing the distance vectors; extracting landmark points and distance vectors from the learning data set; transforming a local feature of the target face based on the landmark points of the learning data set and score data for a facial impression; and transforming a global feature of the target face based on the distance vectors of the learning data set and the score data for the facial impression, wherein the learning data set used is the same for the transforming of the local feature of the target face and the transforming of the global feature of the target face.