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Superluminal Motion-Assisted Four-Dimensional Light-in-Flight Imaging

Related publications (37)

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Animated heads from ordinary images: a least-squares approach

Pascal Fua

We show that we can effectively fit arbitrarily complex animation models to noisy data extracted from ordinary face images. Our approach is based on least-squares adjustment, using of a set of progressively finer control triangulations and takes advantage ...

Elsevier1999

On the geometry of a modern imaging diffractometer

Gervais Chapuis

The geometry of a modern imaging diffractometer is discussed in detail. A method to find all relevant instrument parameters from the control single-crystal measurement data is proposed and the limitations of such a procedure are indicated. Optimization of ...

1999

From regular images to animated heads: a least squares approach

Pascal Fua

We show that we can effectively fit arbitrarily complex animation models to noisy image data. Our approach is based on least-squares adjustment using of a set of progressively finer control triangulations and takes advantage of three complementary sources ...

1998

A fast iterative solution for worst-case parameter estimation with bounded model uncertainties

Ali H. Sayed

Deals with the problem of worst-case parameter estimation in the presence of bounded uncertainties in a linear regression model. The problem has been formulated and solved in Chandrasekaran et al. (1997). It distinguishes itself from other estimation schem ...

1997

MEUSE: an origin-destination estimator that exploits structure

Michel Bierlaire

This article proposes an improvement of existing methods of origin-destination matrix estimation by an explicit use of data describing the structure of the matrix. These data can be obtained from parking surveys. The new model is applied on both illustrati ...

1995

MCMFIT: Efficient optimal fitting of a generalised nonlinear advection-dispersion model to experimental data

David Andrew Barry

The use of standard numerical schemes to solve nonlinear advective-dispersive equations for the estimation of parameters is CPU-time consuming and hence not desirable for routine use. An efficient scheme using a novel mixing cell approach has been used to ...

1995

TFMFIT: A Program to Fit a Generalized Convection- Dispersion Model to Experimental Data

David Andrew Barry

The task of obtaining estimates of model parameters (the "inverse problem") is encountered frequently in practice. The transfer function model is a general formulation describing solute transport from an “entrance surface" to an "exit surface" of a porous ...

1988