30 research outputs found

    Clustered Shape Matching法における再破断までを考慮した高速な破断面生成

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    筑波大学修士(情報学)学位論文・平成31年3月25日授与(41277号

    Collaborative soft object manipulation for game engine-based virtual reality surgery simulators

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    In this paper we analyse and evaluate the capabilities of popular game engines to simulate and interact with soft objects. We discuss how these engines can be used for simulated surgical training applications, determine their shortcomings and make suggestions how game engines can be extended to make them more suitable for such applications

    Chain Shape Matching for Simulating Complex Hairstyles

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    Animations of hair dynamics greatly enrich the visual attractiveness of human characters. Traditional simulation techniques handle hair as clumps or continuum for efficiency; however, the visual quality is limited because they cannot represent the fine-scale motion of individual hair strands. Although a recent mass-spring approach tackled the problem of simulating the dynamics of every strand of hair, it required a complicated setting of springs and suffered from high computational cost. In this paper, we base the animation of hair on such a fine-scale on Lattice Shape Matching (LSM), which has been successfully used for simulating deformable objects. Our method regards each strand of hair as a chain of particles, and computes geometrically derived forces for the chain based on shape matching. Each chain of particles is simulated as an individual strand of hair. Our method can easily handle complex hairstyles such as curly or afro styles in a numerically stable way. While our method is not physically based, our GPU-based simulator achieves visually plausible animations consisting of several tens of thousands of hair strands at interactive rates

    Association Mouvement/Géométrie pour représentations volumiques

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    Session: AnimationNational audienceLes modèles particulaires permettent de produire des animations riches et variées. Ils sont particulièrement adaptés à certains effets d'animation. Mais intrinsèquement, ils ne sont pas basés sur des représentations surfaciques ou volumiques d'objets. Ainsi, visualiser le mouvement qu'ils décrivent peut poser problème car ils ne contiennent souvent pas assez d'information pour reconstruire la moindre topologie spatiale sous-jacente. Plus précisément, un mouvement produit par de tels modèles peut être rendu via différentes formes géométriques et mener à autant d'interprétations visuelles, sans contrôle de l'utilisateur. À notre connaissance, il n'existe pas de méthode générique associant des mouvements basés points, comme ceux produits par un modèle particulaire, ou n'importe quel ensemble de points en mouvement, à une structure topologique. Dans cet article, nous proposons un "framework" permettant d'associer, selon les souhaits de l'utilisateur, n'importe quelle forme volumique à n'importe quel mouvement basé points, et de contrôler les changements topologiques. Il est ainsi possible de créer différents résultats visuels avec une unique description de mouvement. Ce "framework" est séparé en trois processus distincts : l'association entre particules et sommets, la définition de l'application du mouvement aux sommets du maillage, et les modifications topologiques et les événements qui les déclenchent. Nous montrons comment la manipulation de ces paramètres permet d'expérimenter différentes associations sur un même mouvement

    A Kinematic Approach for Efficient and Robust Simulation of the Cardiac Beating Motion

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    Computer simulation techniques for cardiac beating motions potentially have many applications and a broad audience. However, most existing methods require enormous computational costs and often show unstable behavior for extreme parameter sets, which interrupts smooth simulation study and make it difficult to apply them to interactive applications. To address this issue, we present an efficient and robust framework for simulating the cardiac beating motion. The global cardiac motion is generated by the accumulation of local myocardial fiber contractions. We compute such local-to-global deformations using a kinematic approach; we divide a heart mesh model into overlapping local regions, contract them independently according to fiber orientation, and compute a global shape that satisfies contracted shapes of all local regions as much as possible. A comparison between our method and a physics-based method showed that our method can generate motion very close to that of a physics-based simulation. Our kinematic method has high controllability; the simulated ventricle-wall-contraction speed can be easily adjusted to that of a real heart by controlling local contraction timing. We demonstrate that our method achieves a highly realistic beating motion of a whole heart in real time on a consumer-level computer. Our method provides an important step to bridge a gap between cardiac simulations and interactive applications

    Projective Dynamics: Fusing Constraint Projections for Fast Simulation

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    We present a new method for implicit time integration of physical systems. Our approach builds a bridge between nodal Finite Element methods and Position Based Dynamics, leading to a simple, efficient, robust, yet accurate solver that supports many different types of constraints. We propose specially designed energy potentials that can be solved efficiently using an alternating optimization approach. Inspired by continuum mechanics, we derive a set of continuumbased potentials that can be efficiently incorporated within our solver. We demonstrate the generality and robustness of our approach in many different applications ranging from the simulation of solids, cloths, and shells, to example-based simulation. Comparisons to Newton-based and Position Based Dynamics solvers highlight the benefits of our formulation
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