Descripción
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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
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Si |
DOI
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10.1007/978-3-540-70517-8_34 |
Edición del Libro
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5098 |
Editorial del Libro
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Springer Verlag |
ISBN
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978-3-540-70516-1 |
Serie
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Lecture Notes on Computer Science |
Título del Libro
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Proceedings of the 5th international conference on Articulated Motion and Deformable Objects |
Desde página
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349 |
Hasta página
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358 |