vriphys15

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https://diglib.eg.org/handle/10.2312/13862

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Browsing vriphys15 by Subject "I.3.8 [Computer Graphics]"

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    Brownian Dynamics Simulation on the GPU: Virtual Colloidal Suspensions
    (The Eurographics Association, 2015) Tran, Công Tâm; Crespin, Benoît; Cerbelaud, Manuella; Videcoq, Arnaud; Fabrice Jaillet and Florence Zara and Gabriel Zachmann
    Brownian Dynamics simulations are frequently used to describe and study the motion and aggregation of colloidal particles, in the field of soft matter and material science. In this paper, we focus on the problem of neighbourhood search to accelerate computations on a single GPU. Our approach for one kind of particle outperforms existing implementations by introducing a novel dynamic test. For bimodal size distributions we also introduce a new algorithm that separates computations for large and small particles, in order to avoid additional friction that is known to restrict diffusive displacements.
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    A New Force Model for Controllable Breaking Waves
    (The Eurographics Association, 2015) Brousset, Mathias; Darles, Emmanuelle; Meneveaux, Daniel; Poulin, Pierre; Crespin, Benoît; Fabrice Jaillet and Florence Zara and Gabriel Zachmann
    This paper presents a new method for controlling swells and breaking waves using fluid solvers. With conventional approaches that generate waves by pushing particles with oscillating planes, the resulting waves cannot be controlled easily, and breaking waves are even more difficult to obtain in practice. Instead, we propose to use a new wave model that physically describes the behavior of wave forces. We show that mapping those forces to particles produces various types of waves that can be controlled by the user with only a few parameters. Our method is based on a 2D representation that describes wave speed, width, and height. It handles many swell and wave configurations, with various breaking situations.
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    Vascular Neurosurgery Simulation with Bimanual Haptic Feedback
    (The Eurographics Association, 2015) Dequidt, Jeremie; Coevoet, Eulalie; Thinès, Laurent; Duriez, Christian; Fabrice Jaillet and Florence Zara and Gabriel Zachmann
    Virtual surgical simulators face many computational challenges: they need to provide biophysical accuracy, realistic feed-backs and high-rate responses. Better biophysical accuracy and more realistic feed-backs (be they visual, haptic. . . ) induce more computational footprint. State-of-the-art approaches use high-performance hardware or find an acceptable trade-off between performance and accuracy to deliver interactive yet pedagogically relevant simulators. In this paper, we propose an interactive vascular neurosurgery simulator that provides bi-manual interaction with haptic feedback. The simulator is an original combination of states-of-the-art techniques that allows visual realism, bio-physical realism, complex interactions with the anatomical structures and the instruments and haptic feedback. Training exercises are also proposed to learn and to perform the different steps of intracranial aneurysm surgery (IAS). We assess the performance of our simulator with quantitative performance benchmarks and qualitative assessments of junior and senior clinicians.