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Practical and Polytopic Observers for Nonlinear Uncertain Systems
For a class of dynamical systems, with uncertain nonlinear terms considered as «unknown inputs», we give sufficient conditions for observability. We show also that... -
Implementing a Variant of the Kanatani's Estimation Method
We revisit the problem of parameter estimation in computer vision, reconsideri- ng and implementing what may be called the Kanatani's estimation reconsidering and... -
Dense Fluid Flow Estimation
In this paper we address the problem of estimating and analyzing the motion in image sequences showing fluid phenomenon. Due to the great deal of spatial and temporal... -
Computation of the Mid-Sagittal Plane in 3D Medical Images of the Head
We present a new symmetry-based method allowing to compute, reorient and recenter the mid-sagittal plane in anatomical and functional 3D images of the brain. In the... -
Multimodal Brain Warping Using the Demons Algorithm and Adaptative Intensity ...
This paper presents an original method for three-dimensional elastic registrat- ion of multimodal images. We propose to make use of a scheme that iterates between... -
Automatic Alignment of Histological Sections for 3D Reconstruction and Analysis
In this report, we present a new method of aligning histological sections. First a displacement field between the two images is computed by block matching. Then we... -
A two-stage robust statistical method for temporal registration from features...
A model registration system capable of tracking an object, the model of which is known, in an image sequence is presented. It integrates tracking, pose determination... -
Fused sparsity and robust estimation for linear models with unknown variance
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Adaptive Structure from Motion with a contrario model estimation
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Detecting Outliers in High-Dimensional Neuroimaging Datasets with Robust Cova...
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On Using Distorted Sensors for Set-Based Multi-Scale Actuator Fault Diagnosis
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Robust estimation for P.E.M. fuel cell ystems
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Using robust methods to model buildings with a DEM
Accepted in ISPRS Workshop on Models and Strategies for Object Reconstruction, Bonn, Germany, July 2000. Workshop canceled. -
Contribution in the robust estimate of dynamic models. Application in the ord...
Complex dynamic systems identification remains a concern when prediction errors contain innovation outliers. They have the effect to damage the estimated model if the... -
Interval analysis for guaranteed and robust nonlinear estimation in robotics
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Interval analysis for guaranteed and robust nonlinear estimation in robotics
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Guaranteed robust nonlinear estimation with application to robot localization
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Guaranteed robust nonlinear minimax estimation
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System identification using neural networks : a balanced accuracy, complexity...
This report concerns the research topic of black box nonlinear system identification. In effect, among all the various and numerous techniques developed in this field...
