Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

Age recognition in the wild

: Jahanbekam, A.; Bauckhage, C.; Thurau, C.

Volltext urn:nbn:de:0011-n-1434974 (1.5 MByte PDF)
MD5 Fingerprint: d48ab8437de7d48b6f7ef71af85377b8
© 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Erstellt am: 30.10.2010

International Association for Pattern Recognition -IAPR-; Institute of Electrical and Electronics Engineers -IEEE-:
ICPR 2010, 20th International Conference on Pattern Recognition. Proceedings : 23-26 August, 2010, Istanbul, Turkey
Piscataway, NJ: IEEE, 2010
ISBN: 978-0-7695-4109-9
ISBN: 978-1-4244-7542-1
ISBN: 1-4244-7542-2
International Conference on Pattern Recognition (ICPR) <20, 2010, Istanbul>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IAIS ()

In this paper, we present a novel approach to age recognition from facial images. The method we propose, combines several established features in order to characterize facial characteristics and aging patterns. Since we explicitly consider age recognition in the wild, i.e. vast amounts of unconstrained Internet images, the methods we employ are tailored towards speed and efficiency. For evaluation, we test different classifiers on common benchmark data and a new data set of unconstrained images harvested from the Internet. Extensive experimental evaluation shows state of the art performance on the benchmarks, very high accuracy for the novel data set, and superior runtime performance; to our knowledge, this is the first time that automatic age recognition is carried out on a large Internet data set.