In this study, the effect of face regions on local shape descriptor based 3D face recognition was investigated. Our approach starts with calculation of the SIFT descriptors on the shape maps of the 3D faces. In the next phase, SIFT descriptors in the selected regions are concatenated to form feature vectors. Then these feature vectors are fed into linear discriminant analysis (LDA) for face recognition. In this study, faces are segmented into 47 regions and the descriptors in one or more regions are concatenated and their effect on face recognition was investigated. Face recognition tests were conducted by using the FRGC v2.0 face database.