Zobrazeno 1 - 10
of 46
pro vyhledávání: '"M. Hamouz"'
Publikováno v:
Pattern Recognition Letters. 30:745-750
This paper studies how the performance of a 3D face recognition system is affected by compression. A novel lossy compression technique tailored for registered 3D data along with a scheme for 3D face registration and recognition are presented and the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2558a9fa14adb339ada6858a626ac3f
https://doi.org/10.1016/j.patrec.2009.03.001
https://doi.org/10.1016/j.patrec.2009.03.001
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 27:1490-1495
We present a novel method for localizing faces in person identification scenarios. Such scenarios involve high resolution images of frontal faces. The proposed algorithm does not require color, copes well in cluttered backgrounds, and accurately loca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a30eee4d47d38f45e42e261639a6177e
https://doi.org/10.1109/tpami.2005.179
https://doi.org/10.1109/tpami.2005.179
Autor:
Heikki Kälviäinen, Jarmo Ilonen, M. Hamouz, Joni-Kristian Kamarainen, Josef Kittler, P. Paalanen
Publikováno v:
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 17(3)
Several novel and particularly successful object and object category detection and recognition methods based on image features, local descriptions of object appearance, have recently been proposed. The methods are based on a localization of image fea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bca9e1681f0e297b994e726d1631b37
https://pubmed.ncbi.nlm.nih.gov/18270121
https://pubmed.ncbi.nlm.nih.gov/18270121
Publikováno v:
AVSS
This paper proposes a novel 3D lossy compression algorithm tailored for 3D faces. We analyse the effects of compression on the face verification rate and measure recognition performances on the face recognition grand challenge database. Whilst preser
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f386f9d27e74f8b5a3afda23504ec624
https://doi.org/10.1109/avss.2007.4425282
https://doi.org/10.1109/avss.2007.4425282
Publikováno v:
AVSS
The ever growing need for improved security, surveillance and identity protection, calls for the creation of evermore reliable and robust face recognition technology that is scalable and can be deployed in all kinds of environments without compromisi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77adf974520a642018aefe565ddfe08f
https://doi.org/10.1109/avss.2007.4425285
https://doi.org/10.1109/avss.2007.4425285
Publikováno v:
2007 3DTV Conference.
This paper describes a novel technique for model-based coding of 3D head and head-and-shoulders sequences. First, 3D frames are analyzed and registered using a 3D face model, fixed and known also at the decoder side. Then, shape and texture informati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::300c417005bc367f43b348c9606362f4
https://doi.org/10.1109/3dtv.2007.4379442
https://doi.org/10.1109/3dtv.2007.4379442
Autor:
Joni-Kristian Kamarainen, M. Hamouz, Josef Kittler, Jarmo Ilonen, P. Paalanen, Alexander Drobchenko
Publikováno v:
ICCV
In this paper we apply state-of-the-art approach to object detection and localisation by incorporating local descriptors and their spatial configuration into a generative probability model. In contrast to the recent semi- supervised methods we do not
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0eec0fb88c4947056597c3274cb6f503
https://doi.org/10.1109/iccv.2007.4409186
https://doi.org/10.1109/iccv.2007.4409186
Autor:
Albert Sadovnikov, Alexander Drobchenko, Jarmo Ilonen, Joni-Kristian Kamarainen, Heikki Kälviäinen, M. Hamouz
Publikováno v:
Image Analysis ISBN: 9783540730392
SCIA
SCIA
Several novel methods based on locally extracted image features and spatial constellation models have recently been introduced for invariant object class detection and recognition. The accuracy and reliability of the methods depend on the success of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87fef79f4cfa85eed7f03fb732a8f432
https://doi.org/10.1007/978-3-540-73040-8_28
https://doi.org/10.1007/978-3-540-73040-8_28
Publikováno v:
AVSS
Deformable surface fitting methods have been widely used to establish dense correspondence across different 3D objects of the same class. Dense correspondence is a critical step in constructing morphable face models for face recognition. In this pape
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9643cf3dadfc43f2349429db70f220c3
https://doi.org/10.1109/avss.2006.15
https://doi.org/10.1109/avss.2006.15
Publikováno v:
CVPR Workshops
3D face recognition has lately been attracting ever increasing attention. In this paper we review the full spectrum of 3D face processing technology, from sensing to recognition. The review covers 3D face modelling, 3D to 3D and 3D to 2D registration
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::558c1fbc8dda5123758bc4a2c64f88fb
https://doi.org/10.1109/cvpr.2005.377
https://doi.org/10.1109/cvpr.2005.377