3D face recognition in the presence of 3D model degradations
Pierre Lemaire, Di Huang, Joseph Colineau, Mohsen Ardabilian, Liming Chen · 2011
Abstract: The problem of 3D face recognition has received a growing interest in the past decades. While proposed approaches have proven their efficiency over re-nowned databases as FRGC, little work has been conducted on the robustness of such algorithm to the quality of 3D models. In this work, we present a study of the robustness of our 3D face recognition algorithm, namely MS-ELBP+SIFT, to face model degradations. Those degradations include Gaussian noise, decimation, and holes. Degradations are generated on a subset of the FRGC database, hence enabl-ing us to compare the robustness of our approach to them. Results are provided through a comparative study with the baseline ICP method. 1