Zobrazeno 1 - 10
of 14
pro vyhledávání: '"A. Piurica"'
Autor:
Jorge Oswaldo Niño-Castañeda, Andres Frias-Velazquez, Aleksandra Piurica, Wilfried Philips, Vedran Jelaca
Publikováno v:
Image and Vision Computing. 31:673-685
Tracking vehicles using a network of cameras with non-overlapping views is a challenging problem of great importance in traffic surveillance. One of the main challenges is accurate vehicle matching across the cameras. Even if the cameras have similar
Autor:
Jan Cornelis, T. Ruić, Ljiljana Platisa, A. Piurica, Ingrid Daubechies, Ann Dooms, Emile Gezels, M. De Mey, Bruno Cornelis, Maximiliaan Martens
Publikováno v:
Signal Processing. 93:605-619
Digital image processing is proving to be of great help in the analysis and documentation of our vast cultural heritage. In this paper, we present a new method for the virtual restoration of digitized paintings with special attention for the Ghent Al
Publikováno v:
Pattern Recognition Letters. 33:309-318
In this paper we propose a novel inference method for maximum a posteriori estimation with Markov random field prior. The central idea is to integrate a kind of joint ''voting'' of neighboring labels into a message passing scheme similar to loopy bel
Publikováno v:
Journal of Visual Communication and Image Representation. 23:94-99
In this paper, we study the problem of robust image fusion in the context of multi-frame super-resolution. Given multiple aligned noisy low-resolution images, image fusion produces a new image on a high-resolution grid. Recently, kernel regression is
Publikováno v:
Pattern Recognition Letters. 32:2061-2067
This paper presents a novel robust image alignment technique that performs joint geometric and photometric registration in the total least square (TLS) sense. Therefore, we employ the total least square metric instead of the ordinary least square (OL
Publikováno v:
IMAGE AND VISION COMPUTING
Image and vision computing
Image and vision computing
In this paper, we study denoising of multicomponent images. The presented procedures are spatial wavelet-based denoising techniques, based on Bayesian least-squares optimization procedures, using prior models for the wavelet coefficients that account
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d69dc3d3f995b9af532e1bdbc07668a
https://hdl.handle.net/1854/LU-687890
https://hdl.handle.net/1854/LU-687890
Autor:
Rui, Tijana, Piurica, Aleksandra
Publikováno v:
Proceedings of SPIE; 2012, Vol. 8295 Issue: 1 p82951P-82951P-11, 8212161p
Publikováno v:
Proceedings of SPIE; September 2011, Vol. 8138 Issue: 1 p81381Z-81381Z-13, 8056733p
Publikováno v:
Proceedings of SPIE; September 2011, Vol. 8138 Issue: 1 p81381Q-81381Q-13, 8056733p
Autor:
Piurica, Aleksandra, Aelterman, Jan, Bai, F., Vanloocke, Sam, Luong, Hiep Quang, Goossens, Bart, Philips, Wilfried
Publikováno v:
Proceedings of SPIE; September 2011, Vol. 8138 Issue: 1 p81381D-81381D-12, 8056732p