3D Face Recognition Evaluation on Expressive Faces Using the IV2 Database
نویسندگان
چکیده
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 (LICP) 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.
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