关键词: 二维人脸, 三维人脸, 相似模型, 流形对齐

Abstract: The similarity between facial modeling and its prototype is a key index in determining the success of the modeling. Traditional similarity research is based on isomorphic data, and there are few researches on the similarity between 2D face image and 3D facial mesh. This paper, based on two-layer Laplace manifold alignment, discovers the common manifold by dimensionality reduction on 2D face data set and 3D face data set with same number of samples, builds a similarity model between 2D face image and 3D facial mesh, and has a quantitative calculation on the similarity between isomerous faces. The validity of this method is testified by experiments.

Key words: 2D face, 3D face, similarity model, manifold alignment