Structural Similarity based image quality map for face recognition across plastic surgery

Abstract

Variations in the face appearance caused by plastic surgery on skin texture and geometric structure, can impair the performance of most current face recognition systems. In this work, we proposed to use the Structural Similarity (SSIM) quality map to detect and model variations due to plastic surgeries. In the proposed framework, a S-SIM index weighted… (More)
DOI: 10.1109/BTAS.2013.6712737

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Cite this paper

@article{Sun2013StructuralSB, title={Structural Similarity based image quality map for face recognition across plastic surgery}, author={Yunlian Sun and Massimo Tistarelli and Davide Maltoni}, journal={2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS)}, year={2013}, pages={1-8} }