Online Adaptive Personalization For Face Anti-Spoofing

This paper proposes blind mesh quality measures for a reconstructed 3D model. The assessment of 3D model quality is a fundamental step in the process of 3D reconstruction, to efficiently and iteratively improve the model quality. We first prove that metrics based on a reference model (extrinsic metrics) that have been shown to be correlated to subjective interpretation, are able to capture flaws that may occur while reconstructing. However, no reference is available during an iterative reconstruction process, so we study intrinsic measures on a 3D model to evaluate the quality of the 3D model being reconstructed. As expected, our results show that these intrinsic metrics give high responses in regions locally corrupted by noises.