This work compares systematically two optical flow-based facial expression recognition methods. The first one is featural and selects a reduced set of highly discriminant facial points while the second one is holistic and uses much more points that are uniformly distributed on the central face region. Both approaches are referred as feature point tracking and holistic face dense flow tracking, ...

Many applications in computer vision and computer graphics require dense correspondences between images of multi-view video streams. Most state-of-the-art algorithms estimate correspondences by considering pairs of images. However, in multi-view videos, several images capture nearly the same scene. In this article we show that this redundancy can be exploited to estimate more robust and consist...

We perform molecular dynamics (MD) simulations (based on the soft-sphere model) of a model dry granular system consisting of two types of spherical particles differing in size and/or density to characterize particle-particle momentum transfer (solid drag). The velocity difference between two types of particles is specified in the initial conditions, and the evolution of relative mean velocity a...

A fabrication scheme to realize dense arrays of flexible, closed membranes with a small gap separating them from the substrate is presented. These membranes are the first step towards aquatic hair based flow sensors biomimicking fish lateral line. Electrodes are integrated underneath the membrane to avoid contact with the liquid. Arrays of membranes with a diameter of 100 μm, gap height of 3 μm...

Computational Fluid Dynamics (CFD) simulations of gas-solid flow through a positive low-pressure pneumatic conveyor were performed using Eulerian-Eulerian framework. Pressure drop in pneumatic conveying pipelines, creation and destruction of plugs along the horizontal and vertical pipes, effect of 90° elbows and U-bends on cross-section concentrations, and rope formation and dispersion were...

This paper introduces a new approach for active fluid flows control: the vision-based approach. By using vision, dense flow velocity maps can be estimated and used in an observer-free closed-loop scheme to control a flow. This new approach is validated on a 2D plane Poiseuille flow and is proven to outperform the existing Poiseuille flow control appraches which use a limited number of available...

There is a conundrum in the rheological behavior of Dense-inertial granular flows. Dense inertial flows are dominated by clusters of particles which provide a path for internal force transmission through the elasticity of the interparticle contacts. Yet arguably the presence or absence of the clusters have no quantitative effect on the stresses. One possible explanation is that, even though the...