| Metadato | Etiqueta | Valor | Idioma |
|---|---|---|---|
| dc.contributor.author | Autor | Di Martino, Matías | - |
| dc.contributor.author | Autor | Suzacq, Fernando | - |
| dc.contributor.author | Autor | Delbracio, Mauricio | - |
| dc.contributor.author | Autor | Qiu, Qiang | - |
| dc.contributor.author | Autor | Sapiro, Guillermo | - |
| dc.contributor.filiacion | Filiación | Di Martino Matías, Universidad de la República (Uruguay). Facultad de Ingeniería. | - |
| dc.contributor.filiacion | Filiación | Suzacq Fernando, Universidad de la República (Uruguay). Facultad de Ingeniería. | - |
| dc.contributor.filiacion | Filiación | Delbracio Mauricio, Universidad de la República (Uruguay). Facultad de Ingeniería. | - |
| dc.contributor.filiacion | Filiación | Qiu Qiang, Duke University, Durham, USA | - |
| dc.contributor.filiacion | Filiación | Sapiro Guillermo, Duke University, Durham, USA | - |
| dc.date.accessioned | Fecha ingreso | 2025-10-24T17:37:55Z | - |
| dc.date.available | Fecha disponible | 2025-10-24T17:37:55Z | - |
| dc.date.issued | Año de publicación | 2020 | - |
| dc.description.abstract | 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. | es |
| dc.format.extent | Extensión | 36 p. | es |
| dc.format.mimetype | Formato | application/pdf | es |
| dc.identifier.citation | Citación | Di Martino, M., Suzacq, F., Delbracio, M. y otros. Differential 3D facial recognition : Adding 3D to your state-of-the-art 2D method [Preprint]. Publicado en : IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 42, no 7, jul. 2020, pp. 1582-1593. DOI: 10.1109/TPAMI.2020.2986951. | es |
| dc.identifier.uri | URI | https://hdl.handle.net/20.500.12008/52230 | - |
| dc.language.iso | Idioma | en | es |
| dc.rights | Derechos | Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014) | es |
| dc.rights.licence | Licencia | Licencia Creative Commons Atribución (CC - By 4.0) | es |
| dc.subject | Palabras clave | Differential 3D | es |
| dc.subject | Palabras clave | Active stereo | es |
| dc.subject | Palabras clave | Face recognition | es |
| dc.subject | Palabras clave | Spoofing detection | es |
| dc.subject | Palabras clave | 3D facial analysis | es |
| dc.subject | Palabras clave | Three-dimensional displays | es |
| dc.subject | Palabras clave | Two dimensional displays | es |
| dc.subject | Palabras clave | Feature extraction | es |
| dc.subject | Palabras clave | Facial features | es |
| dc.subject | Palabras clave | Image resolution | es |
| dc.subject | Palabras clave | Data mining | es |
| dc.title | Título | Differential 3D facial recognition : Adding 3D to your state-of-the-art 2D method | es |
| dc.type | Tipo de documento | Preprint | es |
Colecciones:
| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| DSDQS20.pdf | Preprint | 2.17 MB | Adobe PDF |