Abstract
| Original language | Undefined |
|---|---|
| Title of host publication | Biometric Technologies in Forensic Science, BTFS 2013 |
| Place of Publication | Nijmegen |
| Publisher | Centre for Language and Speech Technology, Radboud University |
| Pages | - |
| Number of pages | 6 |
| ISBN (Print) | not assigned |
| Publication status | Published - Oct 2013 |
Publication series
| Name | |
|---|---|
| Publisher | Centre for Language and Speech Technology, Radboud University |
Keywords
- EC Grant Agreement nr.: FP7-PEOPLE-ITN-2008
- SCS-Safety
- facial uniqueness
- IR-87561
- EWI-23857
- Image quality
- METIS-300102
- impostor based uniqueness measure
Cite this
}
Can facial uniqueness be inferred from impostor scores? / Dutta, A.; Veldhuis, Raymond N.J.; Spreeuwers, Lieuwe Jan.
Biometric Technologies in Forensic Science, BTFS 2013. Nijmegen : Centre for Language and Speech Technology, Radboud University, 2013. p. -.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
TY - GEN
T1 - Can facial uniqueness be inferred from impostor scores?
AU - Dutta, A.
AU - Veldhuis, Raymond N.J.
AU - Spreeuwers, Lieuwe Jan
N1 - http://cls.ru.nl/staff/dvleeuwen/btfs-2013/dutta-btfs2013.pdf
PY - 2013/10
Y1 - 2013/10
N2 - In Biometrics, facial uniqueness is commonly inferred from impostor similarity scores. In this paper, we show that such uniqueness measures are highly unstable in the presence of image quality variations like pose, noise and blur. We also experimentally demonstrate the instability of a recently introduced impostor-based uniqueness measure of [Klare and Jain 2013] when subject to poor quality facial images.
AB - In Biometrics, facial uniqueness is commonly inferred from impostor similarity scores. In this paper, we show that such uniqueness measures are highly unstable in the presence of image quality variations like pose, noise and blur. We also experimentally demonstrate the instability of a recently introduced impostor-based uniqueness measure of [Klare and Jain 2013] when subject to poor quality facial images.
KW - EC Grant Agreement nr.: FP7-PEOPLE-ITN-2008
KW - SCS-Safety
KW - facial uniqueness
KW - IR-87561
KW - EWI-23857
KW - Image quality
KW - METIS-300102
KW - impostor based uniqueness measure
M3 - Conference contribution
SN - not assigned
SP - -
BT - Biometric Technologies in Forensic Science, BTFS 2013
PB - Centre for Language and Speech Technology, Radboud University
CY - Nijmegen
ER -