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ICIP
2005
IEEE
16 years 8 months ago
Layered local prediction network with dynamic learning for face super-resolution
In this paper, we propose a novel framework for face super-resolution based on a layered predictor network. In the first layer, multiple predictors are trained online with a dynami...
Dahua Lin, Wei Liu, Xiaoou Tang
ICIP
2005
IEEE
16 years 8 months ago
An efficient Rao-Blackwellized particle filter for object tracking
In this paper we present a technique for the tracking of textured almost planar object. The target is modeled as a noisy planar cloud of points. The tracking is led with an approp...
Étienne Mémin, Elise Arnaud
EMMCVPR
2009
Springer
16 years 1 months ago
A PDE Approach to Coupled Super-Resolution with Non-parametric Motion
The problem of recovering a high-resolution image from a set of distorted (e.g., warped, blurred, noisy) and low-resolution images is known as super-resolution. Accurate motion est...
Mehran Ebrahimi, Anne L. Martel
ICIP
2008
IEEE
16 years 1 months ago
Time-sequential extraction of motion layers
A new time-sequential approach for motion layer extraction is presented. We assume that the scene can be described by a set of layers associated to affine motion models. In one o...
Matthieu Fradet, Patrick Pérez, Philippe Ro...
IBPRIA
2007
Springer
16 years 1 months ago
Known Unknowns: Novelty Detection in Condition Monitoring
In time-series analysis it is often assumed that observed data can be modelled as being derived from a number of regimes of dynamics, as e.g. in a Switching Kalman Filter (SKF) [1,...
John A. Quinn, Christopher K. I. Williams
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