Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Bingchen H. Guo"'
Autor:
Emad Sami Jaha, Nawaf Yousef Almudhahka, Daniel Martinho-Corbishley, Bingchen H. Guo, Mark S. Nixon, Sarah V. Stevenage
Publikováno v:
Visual Cognition. 25:524-538
A fusion approach to person recognition is presented here outlining the automated recognition of targets from human descriptions of face, body and clothing. Three novel results are highlighted. First, the present work stresses the value of comparativ
There is societal need for techniques to identify subjects at a distance and when conventional biometrics are obscured, for example in fighting crime. Soft biometrics have this capability and include a subject’s height, weight, skin colour and gend
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a37ad74cd3e9550ad54c733e5e763eab
https://eprints.soton.ac.uk/434294/
https://eprints.soton.ac.uk/434294/
Publikováno v:
ICPR
In order to improve recognition performance, fusion has become a key technique in the recent years. Compared with single-mode biometrics, the recognition rate of multi-modal biometric systems is improved and the final decision is more confident. This
Publikováno v:
ISBA
There are many new soft biometrie approaches though few are used for identification, especially at a distance. We create a new soft biometric database containing the human face, body and clothing attributes at three different distances. One aim of th
Publikováno v:
ICDP
In order to improve biometric system performance, information fusion becomes a key technique in multi-modal biometric systems. Multi-modal biometric fusion is conventionally divided into four levels: sensor level, feature level, score level and decis