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» Maximum Likelihood Estimators in Magnetic Resonance Imaging
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TMI
2008
116views more  TMI 2008»
15 years 1 months ago
Reduced Encoding Diffusion Spectrum Imaging Implemented With a Bi-Gaussian Model
Diffusion spectrum imaging (DSI) can map complex fiber microstructures in tissues by characterizing their 3-D water diffusion spectra. However, a long acquisition time is required ...
Chun-Hung Yeh, Kuan-Hung Cho, Hsuan-Cheng Lin, Jiu...
CVPR
2006
IEEE
16 years 4 months ago
Training Deformable Models for Localization
We present a new method for training deformable models. Assume that we have training images where part locations have been labeled. Typically, one fits a model by maximizing the l...
Deva Ramanan, Cristian Sminchisescu
156
Voted
CVPR
2008
IEEE
15 years 2 months ago
A similarity measure between unordered vector sets with application to image categorization
We present a novel approach to compute the similarity between two unordered variable-sized vector sets. To solve this problem, several authors have proposed to model each vector s...
Yan Liu, Florent Perronnin
113
Voted
BMVC
2001
15 years 4 months ago
An Adaptive Potential for Robust Shape Estimation
This paper describes an algorithm for shape estimation in cluttered scenes. A new image potential is defined based on strokes detected in the image. The motivation is simple. Fea...
Jacinto C. Nascimento, Jorge S. Marques
CVPR
2008
IEEE
15 years 3 months ago
Photometric stereo with coherent outlier handling and confidence estimation
In photometric stereo a robust method is required to deal with outliers, such as shadows and non-Lambertian reflections. In this paper we rely on a probabilistic imaging model tha...
Frank Verbiest, Luc J. Van Gool