The purpose of this paper is to study the influence of face expressions on the performance of a 3D face recognition algorithm.
Three facial surface matching based algorithms, namely ICP, Localized ICP (L-ICP) and Region-based ICP (R-ICP), are benchmarked
on several sets of data : the two first sets with neutral faces and the last with expressive ones. Results show that the R-ICP
algorithm provides more robustness to face expression verification than the two other approaches.