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Unified approach to reconstruction and modification of motion and image data

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Correcting for endogeneity using the EMIS method: a case study with revealed preference data

Michel Bierlaire, Anna Fernández Antolín

Endogeneity is an important issue that often arises in discrete choice models leading to biased estimates of the parameters. We propose the extended multiple indicator solution (EMIS) methodology to correct for it and exemplify it with a case study using r ...

2015

Model-based attenuation of movement artifacts in fMRI

Thomas Lemmin

Behavioral analysis of multi-joint arm reaching has allowed important advances in understanding the control of voluntary movements. Complementing this analysis with functional magnetic resonance imaging (fMRI) would give insight into the neural mechanisms ...

2010

Fast Structure from Motion for Planar Image Sequences

Pierre Vandergheynst, Luigi Bagnato, Andreas Weishaupt

Dense three-dimensional reconstruction of a scene from images is a challenging task. Usually, it is achieved by finding correspondences in successive images and computing the distance by means of epipolar geometry. In this paper, we propose a variational f ...

2010

Graphical display for annual climate-based daylight simulation

Marilyne Andersen, Magali Bodart

Due to daylight variability, a design cannot be thoroughly assessed using single-moment simulations, which is why we need dynamic performance metrics like Daylight Autonomy and Useful Daylight Illuminance. Going one step further, the annual variation in pe ...

2008

Normalisation of Histogrammed List Mode Data

Many PET scanners nowadays have the possibility to record event-by-event information, known as list mode data. This has the advantage of keeping the data in the highest possible resolution (both temporal and spatial). In most cases, list mode data are then ...

2008

Method for Automatic Quality Control of Data in In-Vivo Images

A method for quality control assessment in single time-point in-vivo imaging data related to imaging of objects, includes acquiring an in-vivo image of the object with imaging apparatus, defining a background image corresponding to an imaged air of the in- ...

2008

Motion Modeling: Can We Get Rid of Motion Capture?

Daniel Thalmann

For situations like crowd simulation, serious games, and VR-based training, flexible and spontaneous movements are extremely important. Motion models would be the best strategy to adopt, but unfortunately, they are very costly to develop and the results ar ...

Springer-Verlag New York, Ms Ingrid Cunningham, 175 Fifth Ave, New York, Ny 10010 Usa2008

Embedding Motion in Model-Based Stochastic Tracking

Daniel Gatica-Perez, Jean-Marc Odobez, Silèye Oumar Ba

Particle filtering (PF) is now established as one of the most popular methods for visual tracking. Within this framework, two assumptions are generally made. The first is that the data are temporally independent given the sequence of object states, and the ...

2006

Can we assess the model complexity for a bioprocess: theory and example of the anaerobic digestion process

Benoît Chachuat, Olivier Bernard

In this paper we propose a methodology to determine the structure of the pseudo-stoichiometric coefficient matrix K in a mass balance based model, i.e. the maximal number of biomasses that must be taken into account to reproduce an available data set. It c ...

2006

Embedding motion in model-based stochastic tracking

Daniel Gatica-Perez, Jean-Marc Odobez

2004