Automatic eyes and nose detection using curvature analysis

J. Matías Di Martino, Alicia Fernández, José Ferrari

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

In the present work we propose a method for detecting the nose and eyes position when we observe a scene that contains a face. The main goal of the proposed technique is that it capable of bypassing the 3D explicit mapping of the face and instead take advantage of the information available in the Depth gradient map of the face. To this end we will introduce a simple false positive rejection approach restricting the distance between the eyes, and between the eyes and the nose. The main idea is to use nose candidates to estimate those regions where is expected to find the eyes, and vice versa. Experiments with Texas database are presented and the proposed approach is testes when data presents different power of noise and when faces are in different positions with respect to the camera.

Idioma originalInglés
Título de la publicación alojadaLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditoresAlvaro Pardo, Josef Kittler
EditorialSpringer Verlag
Páginas271-278
Número de páginas8
ISBN (versión impresa)9783319257501
DOI
EstadoPublicada - 2015
Publicado de forma externa
Evento20th Iberoamerican Congress on on Pattern Recognition, CIARP 2015 - Montevideo
Duración: 9 nov. 201512 nov. 2015

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen9423
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia20th Iberoamerican Congress on on Pattern Recognition, CIARP 2015
País/TerritorioUruguay
CiudadMontevideo
Período9/11/1512/11/15

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