Resumen
Active illumination is a prominent complement to enhance 2D face recognition and make it more robust, e.g., to spoofing attacks and low-light conditions. In the present work we show that it is possible to adopt active illumination to enhance state-of-the-art 2D face recognition approaches with 3D features, while bypassing the complicated task of 3D reconstruction. The key idea is to project over the test face a high spatial frequency pattern, which allows us to simultaneously recover real 3D information plus a standard 2D facial image. Therefore, state-of-the-art 2D face recognition solution can be transparently applied, while from the high frequency component of the input image, complementary 3D facial features are extracted. Experimental results on ND-2006 dataset show that the proposed ideas can significantly boost face recognition performance and dramatically improve the robustness to spoofing attacks.
Idioma original | Inglés |
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Número de artículo | 9064938 |
Páginas (desde-hasta) | 1582-1593 |
Número de páginas | 12 |
Publicación | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Volumen | 42 |
N.º | 7 |
DOI | |
Estado | Publicada - 1 jul. 2020 |
Publicado de forma externa | Sí |