Zobrazeno 1 - 10
of 100
pro vyhledávání: '"Nikola Pavešić"'
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 10 (2013)
The paper presents a multi-modal emotion recognition system exploiting audio and video (i.e., facial expression) information. The system first processes both sources of information individually to produce corresponding matching scores and then combin
Externí odkaz:
https://doaj.org/article/a48916a548994239b86c777d023730b9
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 9 (2012)
Face recognition in uncontrolled environments remains an open problem that has not been satisfactorily solved by existing recognition techniques. In this paper, we tackle this problem using a variant of the recently proposed Probabilistic Linear Disc
Externí odkaz:
https://doaj.org/article/d57e10a593534a77afbf3c2a33f50313
Autor:
Vitomir Štruc, Nikola Pavešić
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2010 (2010)
This paper develops a novel face recognition technique called Complete Gabor Fisher Classifier (CGFC). Different from existing techniques that use Gabor filters for deriving the Gabor face representation, the proposed approach does not rely solely on
Externí odkaz:
https://doaj.org/article/6ac67cdbc39e4b88809eb989f90c52f7
Autor:
Vitomir Struc, Nikola Pavešić
Publikováno v:
Face Recognition
Among the numerous biometric systems presented in the literature, face recognition systems have received a great deal of attention in recent years. The main driving force in the development of these systems can be found in the enormous potential face
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95f66ee9e5ef6782569e89b7d0e61436
http://www.intechopen.com/articles/show/title/from-gabor-magnitude-to-gabor-phase-features-tackling-the-problem-of-face-recognition-under-severe-i
http://www.intechopen.com/articles/show/title/from-gabor-magnitude-to-gabor-phase-features-tackling-the-problem-of-face-recognition-under-severe-i
Autor:
Nikola Pavešić, Slobodan Ribarić
Publikováno v:
User-Centric Privacy and Security in Biometrics ISBN: 9781785612077
De-identification, which is defined as the process of removing or concealing personal identifiers or replacing them with surrogate personal identifiers to prevent direct or indirect identification of a person, is recognized as an efficient tool for p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a92934af0e68a4b04deabee500524f9c
https://doi.org/10.1049/pbse004e_ch13
https://doi.org/10.1049/pbse004e_ch13
Publikováno v:
IET Biometrics. 3:62-74
Similarity scores represent the basis for identity inference in biometric verification systems. However, because of the so-called miss-matched conditions across enrollment and probe samples and identity-dependent factors these scores typically exhibi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18d77be937accaebc926d2697fb2583b
https://doi.org/10.1049/iet-bmt.2013.0076
https://doi.org/10.1049/iet-bmt.2013.0076
Autor:
Enrique Argones Rúa, Hui Fang, Sébastien Marcel, Norman Poh, Chi-Ho Chan, Chris McCool, Albert Ali Salah, Nikola Pavešić, Vitomir Struc, Nicholas Costen, Mauricio Villegas, José Luis Alba Castro, Roberto Paredes, Josef Kittler
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
IEEE Transactions on Information Forensics and Security, 5(4), 781-801. Institute of Electrical and Electronics Engineers Inc.
IEEE Transactions on Information Forensics and Security
instname
IEEE Transactions on Information Forensics and Security, 5(4), 781-801. Institute of Electrical and Electronics Engineers Inc.
IEEE Transactions on Information Forensics and Security
[EN] Person recognition using facial features, e.g., mug-shot images, has long been used in identity documents. However, due to the widespread use of web-cams and mobile devices embedded with a camera, it is now possible to realize facial video recog
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63d147a2c5eb7a768f506b9ae3b51948
https://doi.org/10.1109/tifs.2010.2077627
https://doi.org/10.1109/tifs.2010.2077627
Autor:
Vitomir Struc, Nikola Pavešić
Publikováno v:
Informatica. 20:115-138
The paper presents a novel method for the extraction of facial features based on the Gabor-wavelet representation of face images and the kernel partial-least-squares discrimination (KPLSD) algorithm. The proposed feature-extraction method, called the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03f4833b61cccf5c9aaf930a77ca5f63
https://doi.org/10.15388/informatica.2009.240
https://doi.org/10.15388/informatica.2009.240
Autor:
Tadej Savič, Nikola Pavešić
Publikováno v:
Pattern Recognition. 40:3152-3163
This paper describes the design and development of a multimodal biometric personal recognition system based on features extracted from a set of 14 geometrical parameters of the hand, the palmprint, four digitprints, and four fingerprints. The feature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ab0feb338eaac7cb2d66a385ebcd4a7
https://doi.org/10.1016/j.patcog.2007.03.005
https://doi.org/10.1016/j.patcog.2007.03.005
Publikováno v:
Behaviour & Information Technology. 26:113-118
Until recently, most of the effort for providing security in information systems has been focused on technology. However, it turned out during the last years that human factors have played a central role. Therefore, to ensure appropriate security in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a90ed3406a802b0ab0b91cac846c9bf
https://doi.org/10.1080/01449290500330299
https://doi.org/10.1080/01449290500330299