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» Estimating Alignment Errors in Sets of Images
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ICIP
2010
IEEE
14 years 7 months ago
Poisson NL means: Unsupervised non local means for Poisson noise
An extension of the non local (NL) means is proposed for images damaged by Poisson noise. The proposed method is guided by the noisy image and a pre-filtered image and is adapted ...
Charles-Alban Deledalle, Florence Tupin, Loïc...
CVPR
2009
IEEE
16 years 4 months ago
Global Optimization for Alignment of Generalized Shapes
In this paper, we introduce a novel algorithm to solve global shape registration problems. We use gray-scale “images” to represent source shapes, and propose a novel twocompo...
Hongsheng Li (Lehigh University), Tian Shen (Lehig...
ACL
2006
14 years 11 months ago
Discriminative Word Alignment with Conditional Random Fields
In this paper we present a novel approach for inducing word alignments from sentence aligned data. We use a Conditional Random Field (CRF), a discriminative model, which is estima...
Phil Blunsom, Trevor Cohn
ISBI
2008
IEEE
15 years 10 months ago
Quantified brain asymmetry for age estimation of normal and AD/MCI subjects
We propose a quantified asymmetry based method for age estimation. Our method uses machine learning to discover automatically the most discriminative asymmetry feature set from di...
Leonid Teverovskiy, James T. Becker, Oscar L. Lope...
CVPR
1996
IEEE
15 years 11 months ago
Minimal operator set for passive depth from defocus
A fundamental problem in depth from defocus is the measurement of relative defocus between images. We propose a class of broadband operators that, when used together, provide inva...
Masahiro Watanabe, Shree K. Nayar