Abstract. We present a novel 3D face recognition approach based on

geometric invariants introduced by Elad and Kimmel. The key idea of

the proposed algorithm is a representation of the facial surface, invari-

ant to isometric deformations, such as those resulting from different

expressions and postures of the face. The obtained geometric invariants

allow mapping 2D facial texture images into special images that incor-

porate the 3D geometry of the face. These signature images are then

decomposed into their principal components. The result is an efficient

and accurate face recognition algorithm that is robust to facial expres-

sions. We demonstrate the results of our method and compare it to ex-

isting 2D and 3D face recognition algorithms.