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 [BibTeX] [Marc21]
Multiview Face Detection
Type of publication: Idiap-RR
Citation: sauquet-rr-05-49
Number: Idiap-RR-49-2005
Year: 2005
Institution: IDIAP
Abstract: In this document, we address the problem of multiview face detection. This work extends the frontal face detection system developed at the IDIAP Research Institute to multiview face detection. The main state-of-the art techniques are reviewed and a novel architecture is presented, based on a pyramid of detectors that are trained for different views of faces. The proposed approach robustly detects faces rotated up to -67.5 degree in the image plane and up to -90 degree out of the image plane. The system is real-time and achieves high performances on benchmark test sets, comparable to some state-of-the-art approaches.
Userfields: ipdmembership={vision}, language={English},
Projects Idiap
Authors Sauquet, Tiffany
Rodriguez, Yann
Marcel, S├ębastien
Added by: [UNK]
Total mark: 0
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