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ICIP
2006
IEEE
14 years 9 months ago
Robust Kernel Regression for Restoration and Reconstruction of Images from Sparse Noisy Data
We introduce a class of robust non-parametric estimation methods which are ideally suited for the reconstruction of signals and images from noise-corrupted or sparsely collected s...
Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar
ICIP
2009
IEEE
13 years 5 months ago
Object tracking by bidirectional learning with feature selection
This paper proposes a new tracking algorithm which combines object and background information, via building object and background appearance models simultaneously by nonparametric...
Heng Wang, Xinwen Hou, Cheng-Lin Liu
ICASSP
2008
IEEE
14 years 1 months ago
A nonparametric minimum entropy image deblurring algorithm
In this paper we address the image restoration problem in the variational framework. Classical approaches minimize the Lp norm of the residual and rely on parametric assumptions o...
Cesario Vincenzo Angelino, Eric Debreuve, Michel B...
CIMAGING
2009
265views Hardware» more  CIMAGING 2009»
13 years 8 months ago
Multi-object segmentation using coupled nonparametric shape and relative pose priors
We present a new method for multi-object segmentation in a maximum a posteriori estimation framework. Our method is motivated by the observation that neighboring or coupling objec...
Mustafa Gökhan Uzunbas, Octavian Soldea, M&uu...
DAGM
2004
Springer
14 years 26 days ago
Estimation of Multiple Orientations at Corners and Junctions
Abstract. Features like junctions and corners are a rich source of information for image understanding. We present a novel theoretical framework for the analysis of such 2D feature...
Cicero Mota, Ingo Stuke, Til Aach, Erhardt Barth