Improved 3D AAMs for Facial Recognition Based CIS 3D Facial Imaging
基于相关型图像传感器3维人脸成像的3维AAMs人脸识别方法的研究

Active Appearance Models (AAMs) is an effective statistical method to build 2D model for an object,which combines shape and texture information.A novel method for building 3D face model is proposed,which makes use of the depth information and corresponding intensity information generated by correlation image sensor (CIS),and extends 2D AAMs to 3D AAMs. The proposed improved AAMs fuse the shape,texture and depth information of face to build 3D face model. In facial recognition experiments which using 3D facial images based on CIS imaging system,the improved 3D AAMs model shows better recognition result than traditional AAMs algorithms and Eigenface.