Observatorio de I+D+i UPM

Descripción
We present a technique for face recognition in videos. We are able to recognise a face in a video sequence, given a single gallery image. By assuming that the face is in an approximately frontal position, we jointly model changes in facial appearance caused by identity and illumination. The identity of a face is described by a vector of appearance parameters. We use an angular distance to measure the similarity of faces and a probabilistic procedure to accumulate evidence for recognition along the sequence. We achieve 93.8% recognition success in a set of 65 sequences of 6 subjects from the LaCascia and Sclaroff database.
Internacional	Si
DOI	10.1007/978-3-540-70517-8_34
Edición del Libro	5098
Editorial del Libro	Springer Verlag
ISBN	978-3-540-70516-1
Serie	Lecture Notes on Computer Science
Título del Libro	Proceedings of the 5th international conference on Articulated Motion and Deformable Objects
Desde página	349
Hasta página	358

Esta actividad pertenece a memorias de investigación

• Autor: Luis Baumela Molina (UPM)
• Autor: José Miguel Buenaposada Biencit (UPM)

• Creador: Grupo de Investigación: Percepción Computacional y Robótica
• Departamento: Inteligencia Artificial