关键词: 三维面貌相似性, 特征点, 几何不变量, 特征描述子

Abstract: The traditional method of facial similarity is easily affected by the subjective consciousness and the limitation for semi-automatic extracting the key features is inaccurate, the paper puts forward a 3D face similarity measurement based on adaptive neighborhood description. Firstly, features points are marked automatically based on profile of faces model after the faces are unified to Frankfurt coordinate. Then, the feature description is constructed by the covariance matrix of the geometric feature with the adaptive neighborhood. Finally, the similarity between description of feature points illustrates the similarity between two face model. Experimental result shows that the proposed method can measure the similarity of face model well, and distinguish the similarity of face models.

Key words: 3D facial similarity, feature points, geometric invariant, feature descriptor