Título:
An a-contrario approach for face matching
Otros títulos:
Coordinador:
Director:
Compilador:
Autor:
Di Martino, Luis
Preciozzi, Javier
Lecumberry, Federico
Fernández, Alicia
Preciozzi, Javier
Lecumberry, Federico
Fernández, Alicia
Tutor:
Tipo de documento:
Ponencia
Editor:
Palabras clave:
Descriptores:
Procesamiento de Señales
FaceRecognition
FaceMatching a-contrario
STASM
LBP
ExtendedLBP
Chi-Square
FaceRecognition
FaceMatching a-contrario
STASM
LBP
ExtendedLBP
Chi-Square
Año de publicación:
2014
Contenido:
Resumen:
In this work we focus on the matching stage of a face recognition system. These systems are used to identify an unknown person or to validate a claimed identity. In the face recognition field it is very common to innovate in the extracted features of a face and use a simple threshold on the distance between samples in order to perform the validation of a claimed identity. In this work we present a novel strategy based in the a-contrario framework in order to improve the matching stage. This approach results in a validation threshold that is automatically adapted to the data and allows to predict the performance of the system in advance. We perform several experiments in order to validate this novel strategy using different databases and show its advantages over using a simple threshold over the distances.
Descripción:
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Editorial:
SCITEPRESS
EN:
3rd International Conference on Pattern Recognition Applications and Methods (ICPRAM-2014). Angers, Loire Valley, France.
Financiadores:
Citación:
Di Martino, LD, Preciozzi, J, Lecumberry, F, Fernández, A. " An a-contrario approach for face matching". Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods ICPRAM - v. 1, 2014, pp. 377-384. doi: 10.5220/0004758003770384
Citación:
metadata.articulos.cc.license.name:
ISBN:
978-989-758-018-5
e-ISBN:
ISSN:
ISMN:
Otros identificadores:
Cobertura geográfica:
Cobertura temporal:
Departamento académico:
Procesamiento de Señales
Grupo de investigación:
Tratamiento de Imágenes
Licencia:
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
Colecciones:
| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| DMPLF14.pdf | — | 228.37 KB | Adobe PDF |