Human face shape classification method based on active shape model
HU De-wen · Journal of Computer Applications · 2009
To improve the recognition rate and speed on huge face database,automatic face shape classification has attracted more and more attention.Human face shape can be classified into several categories: round face,elliptic face,square face,triangle face,etc.This paper proposed a novel method to classify human face shape automatically based on Active Shape Model(ASM).First,face images of different shapes were trained by ASM to generate different shape models.Then ASM was used to detect the face shape of the test sample,and compared the distance with each face shape model.Finally,nearest-neighbor algorithm was employed to accomplish classification.Experimental results show that the proposed method outperforms the methods based on curvature feature of face contour or feature of chin contour.The method can detect full face shape information,and improve the recognition rate and speed on huge face database.