Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Spreeuwers, Lieuwe Jan"'
Publikováno v:
PLoS ONE, 11(7):e0159950. PUBLIC LIBRARY SCIENCE
PLoS ONE, 11(7):e0159950, e0159950:1-11. Public Library of Science
PLoS ONE, Vol 11, Iss 7, p e0159950 (2016)
PLoS ONE
PLoS ONE, 11(7):e0159950, e0159950:1-11. Public Library of Science
PLoS ONE, Vol 11, Iss 7, p e0159950 (2016)
PLoS ONE
Research overwhelmingly shows that facial appearance predicts leader selection. However, the evidence on the relevance of faces for actual leader ability and consequently performance is inconclusive. By using a state-of-the-art, objective measure for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f366fc795afc0f62494e6d288aad918
https://research.rug.nl/en/publications/de283483-5c9f-4a31-bf1f-db0fd4588298
https://research.rug.nl/en/publications/de283483-5c9f-4a31-bf1f-db0fd4588298
Autor:
Spreeuwers, Lieuwe Jan
Publikováno v:
Vonk, 33(4), 11-21. ETSV Scintilla
Biometrics - recognition of persons based on how they look or behave, is the main subject of research at the Chair of Biometric Pattern Recognition (BPR) of the Services, Cyber Security and Safety Group (SCS) of the EEMCS Faculty at the University of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::1ff042e43658e69033ab4cd6e052b788
https://research.utwente.nl/en/publications/setting-a-world-record-in-3d-face-recognition(b2505c61-289c-429f-8cc7-f8b4bb175e7c).html
https://research.utwente.nl/en/publications/setting-a-world-record-in-3d-face-recognition(b2505c61-289c-429f-8cc7-f8b4bb175e7c).html
Autor:
Kotzerke, J., Kotzerke, Johannes, Davis, S., Hayes, R., Spreeuwers, Lieuwe Jan, Veldhuis, Raymond N.J., Horadam, K.J.
Publikováno v:
BIOSIG
Proceedings of the 2015 International Conference of the Biometrics Special Interest Group (BIOSIG), 1-6
STARTPAGE=1;ENDPAGE=6;TITLE=Proceedings of the 2015 International Conference of the Biometrics Special Interest Group (BIOSIG)
Proceedings of the 2015 International Conference of the Biometrics Special Interest Group (BIOSIG), 1-6
STARTPAGE=1;ENDPAGE=6;TITLE=Proceedings of the 2015 International Conference of the Biometrics Special Interest Group (BIOSIG)
Law enforcement agencies around the world use biometrics and fingerprints to solve and fight crime. Forensic experts are needed to record fingermarks at crime scenes and to ensure those captured are of evidential value. This process needs to be autom
Publikováno v:
23rd European Signal Processing Conference, EUSIPCO 2015, 779-783
STARTPAGE=779;ENDPAGE=783;TITLE=23rd European Signal Processing Conference, EUSIPCO 2015
STARTPAGE=779;ENDPAGE=783;TITLE=23rd European Signal Processing Conference, EUSIPCO 2015
The task of forensic facial experts is to assess the likelihood whether a suspect is depicted on crime scene images. They typically (a) use morphological analysis when comparing parts of the facial region, and (b) combine this partial evidence into a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::7de93b666e21e09ee01a825dd10a9668
https://research.utwente.nl/en/publications/0a9c691b-ff11-4b30-b5c7-1c64c97a9649
https://research.utwente.nl/en/publications/0a9c691b-ff11-4b30-b5c7-1c64c97a9649
Publikováno v:
Proceedings of the 36th WIC Symposium on Information Theory in the Benelux, 26-33
STARTPAGE=26;ENDPAGE=33;TITLE=Proceedings of the 36th WIC Symposium on Information Theory in the Benelux
STARTPAGE=26;ENDPAGE=33;TITLE=Proceedings of the 36th WIC Symposium on Information Theory in the Benelux
Score level fusion is an appealing method for combining multi-algorithms, multi- representations, and multi-modality biometrics due to its simplicity. Often, scores are assumed to be independent, but even for dependent scores, accord- ing to the Neym
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::8b13a94771a157465a723d3627dda9b2
https://research.utwente.nl/en/publications/semiparametric-score-level-fusion-gaussian-copula-approach(92f607e0-63e4-42d1-8d37-8d1dd819c89e).html
https://research.utwente.nl/en/publications/semiparametric-score-level-fusion-gaussian-copula-approach(92f607e0-63e4-42d1-8d37-8d1dd819c89e).html
Publikováno v:
Proceedings of the 36th WIC Symposium on Information Theory in the Benelux, 34-41
STARTPAGE=34;ENDPAGE=41;TITLE=Proceedings of the 36th WIC Symposium on Information Theory in the Benelux
STARTPAGE=34;ENDPAGE=41;TITLE=Proceedings of the 36th WIC Symposium on Information Theory in the Benelux
In this paper, we propose a facial recognition based on the LBP operator. We divide the face into non-overlapped regions. After that, we classify a training set using each region at a time under different configurations of the LBP operator. Regarding
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::ede26c99d7304e0d2c9d9dfcf6ba7ed8
https://research.utwente.nl/en/publications/facial-recognition-using-new-lbp-representations(dcfd85ed-0ba1-4826-a962-dfc73e55f4ca).html
https://research.utwente.nl/en/publications/facial-recognition-using-new-lbp-representations(dcfd85ed-0ba1-4826-a962-dfc73e55f4ca).html
Autor:
Spreeuwers, Lieuwe Jan
Publikováno v:
IET biometrics, 4(3), 169-177. The Institution of Engineering and Technology
This study presents optimisations to a three-dimensional (3D) face recognition method the authors published in 2011. The optimisations concern handling and estimation of motion from a single 3D image using the symmetry of the face, fine registration
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::4d46ff75a8c63f3c48d7b9a288cd84b2
https://research.utwente.nl/en/publications/87b24138-0812-4ab7-80e3-47814c99f8dd
https://research.utwente.nl/en/publications/87b24138-0812-4ab7-80e3-47814c99f8dd
Autor:
Spreeuwers, Lieuwe Jan, Veldhuis, Raymond N.J., Sultanali, S., Diephuis, J., Busch, C., Brömme, A.
Publikováno v:
BIOSIG 2014: Proceedings of the 13th International Conference of the Biometrics Special Interest Group, 1-4
STARTPAGE=1;ENDPAGE=4;TITLE=BIOSIG 2014: Proceedings of the 13th International Conference of the Biometrics Special Interest Group
STARTPAGE=1;ENDPAGE=4;TITLE=BIOSIG 2014: Proceedings of the 13th International Conference of the Biometrics Special Interest Group
Holistic face recognition methods like PCA and LDA have the disadvantage that they are very sensitive to expression, hair and illumination variations. This is one of the main reasons they are no longer competitive in the major benchmarks like FRGC an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::775fcb425dbca3f9f4406c4032442112
https://research.utwente.nl/en/publications/a821c1d4-3d59-46b9-a1a5-fb234d1ebab7
https://research.utwente.nl/en/publications/a821c1d4-3d59-46b9-a1a5-fb234d1ebab7
Publikováno v:
Proceedings of Netherlands Conference on Computer Vision, NCCV 2014, 1-4
STARTPAGE=1;ENDPAGE=4;TITLE=Proceedings of Netherlands Conference on Computer Vision, NCCV 2014
STARTPAGE=1;ENDPAGE=4;TITLE=Proceedings of Netherlands Conference on Computer Vision, NCCV 2014
It is still challenging to recognize faces reliably in videos from mobile camera, although mature automatic face recognition technology for still images has been available for quite some time. Suppose we want to be alerted when suspects appear in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::a92736f4ab649652018649b7343151cb
https://research.utwente.nl/en/publications/face-identification-in-videos-from-mobile-cameras(f9c0de71-ff9b-4016-b9ea-def9f9de17da).html
https://research.utwente.nl/en/publications/face-identification-in-videos-from-mobile-cameras(f9c0de71-ff9b-4016-b9ea-def9f9de17da).html
Publikováno v:
Biometric Technologies in Forensic Science, BTFS 2013
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 experimenta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::9ddf5c22c3dd4c37673a9c0e6feddb04
https://research.utwente.nl/en/publications/can-facial-uniqueness-be-inferred-from-impostor-scores(b7510461-053d-4e3e-bb5d-21438ec3935a).html
https://research.utwente.nl/en/publications/can-facial-uniqueness-be-inferred-from-impostor-scores(b7510461-053d-4e3e-bb5d-21438ec3935a).html