Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Markus Turtinen"'
Publikováno v:
Journal of Signal Processing Systems. 91:9-20
Image and video data acquired by portable devices such as mobile phones are degraded by noise and blur due to the small size of optical sensors in these devices. A wide range of image restoration methods exists, yet feasibility of these methods in po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e65aa420c2552b096ea82da6f08cfd30
https://doi.org/10.1007/s11265-018-1410-7
https://doi.org/10.1007/s11265-018-1410-7
Publikováno v:
SAMOS
Noise reduction is one of the most fundamental digital image processing challenges. On mobile devices, proper solutions for this task can significantly increase the output image quality making the use of a camera even more attractive for customers. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edf04ea3382568489c41a5d15163545f
https://doi.org/10.1109/samos.2015.7363694
https://doi.org/10.1109/samos.2015.7363694
Publikováno v:
MVA
Scopus-Elsevier
Scopus-Elsevier
In this paper, we study how a multidimensional local binary pattern (LBP) texture feature data can be visually explored and analyzed. The goal is to determine how true paper properties can be characterized with local texture features from visible lig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a4644162f43938a92b8eb645a8d97ac
https://doi.org/10.1093/ietisy/e89-d.7.2076
https://doi.org/10.1093/ietisy/e89-d.7.2076
Publikováno v:
Pattern Recognition. 37:313-323
A new method for recognizing 3D textured surfaces is proposed. Textures are modeled with multiple histograms of micro-textons, instead of more macroscopic textons used in earlier studies. The micro-textons are extracted with the recently proposed mul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9485e60fd1c6d1d69fc03123688ca950
https://doi.org/10.1016/s0031-3203(03)00231-0
https://doi.org/10.1016/s0031-3203(03)00231-0
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 22:890-898
In this paper, a non-supervised technique for on-line paper characterisation is presented. The method uses self-organising maps (SOM) and texture analysis for clustering different kinds of paper according to their properties. A light-through techniqu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83f3a05d81bd19d0547ebdb3bb0d83cb
https://doi.org/10.1007/s00170-003-1699-6
https://doi.org/10.1007/s00170-003-1699-6
Publikováno v:
Real-Time Imaging. 9:289-296
In this paper a real-time surface inspection method based on texture features is introduced. The proposed approach is based on the Local Binary Pattern (LBP) texture operator and the Self-Organizing Map (SOM). A very fast software implementation of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8866ce805048f2b049f81e60c32d659
https://doi.org/10.1016/s1077-2014(03)00041-x
https://doi.org/10.1016/s1077-2014(03)00041-x
Autor:
Norman Poh, Jui-Yu Hung, Pavel Matějka, Juan Arturo Nolazco-Flores, Sandra Mau, Sébastien Marcel, David Monzo, Jan Cernocký, Chris McCool, Jean-François Bonastre, Vineeth N Balasubramanian, Yi-Ping Hung, Ping-Han Lee, Sethuraman Panchanathan, Markus Turtinen, Leibny Paola Garcia-Perera, John Mason, Roberto Paredes, Yan Wang, Hieu V. Nguyen, Timo Ahonen, Zdeněk Jančík, Si-Wei Wu, Benoit Fauve, Christophe Lévy, Li Bai, Lukáš Machlica, Chi-Ho Chan, Anthony Larcher, Mauricio Villegas, Oldřich Plchot, Ondřej Glembek, Driss Matrouf, Matti Niskanen, Conrad Sanderson, Josef Kittler, Antonio Albiol, Shayok Chakraborty, Roberto Aceves-Lopez
Publikováno v:
Recognizing Patterns in Signals, Speech, Images and Videos ISBN: 9783642177101
ICPR Contests
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
ICPR Contests
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname
This paper evaluates the performance of face and speaker verification techniques in the context of a mobile environment. The mobile environment was chosen as it provides a realistic and challenging test-bed for biometric person verification technique
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6a434dc9af2d9e5f987876bcc2f0c92
https://doi.org/10.1007/978-3-642-17711-8_22
https://doi.org/10.1007/978-3-642-17711-8_22
Autor:
Jari Hannuksela, Markus Turtinen, Markku Vehvilainen, Olli Silven, Marius Tico, Miguel Bordallo-Lopez, Matti Niskanen, Jani Boutellier
Publikováno v:
Silvén, O, Hannuksela, J, Bordallo-López, M, Turtinen, M, Niskanen, M, Boutellier, J, Vehviläinen, M & Tico, M 2008, New video applications on mobile communication devices . in Multimedia on Mobile Devices 2008 ., 682108, International Society for Optics and Photonics SPIE, Proceedings of SPIE-The International Society for Optical Engineering, vol. 6821, Multimedia on Mobile Devices 2008, San Jose, CA, United States, 28/01/08 . https://doi.org/10.1117/12.764872
The video applications on mobile communication devices have usually been designed for content creation, access, and playback. For instance, many recent mobile devices replicate the functionalities of portable video cameras and video recorders, and di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41dc5823abc7c60ed06e55e8a14e424a
https://cris.vtt.fi/en/publications/ef78b667-73af-4062-a68d-fe332531b6e5
https://cris.vtt.fi/en/publications/ef78b667-73af-4062-a68d-fe332531b6e5
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540699040
ICISP
ICISP
This paper introduces a new face tracking approach for controlling user interfaces in hand-held mobile devices. The proposed method detects the face and the eyes of the user by employing a method based on local texture features and boosting. An exten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f61ef1fb98a3e7e55c81cfcc0947e4e8
https://doi.org/10.1007/978-3-540-69905-7_46
https://doi.org/10.1007/978-3-540-69905-7_46