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Planning Plausible Human Animation with Environment-Aware Motion Sampling

机译:规划具有环境感知运动采样的合理人体动画

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The creation of plausible human animation remains a perennial problem in computer graphics. To construct long animations it is common to stitch together a sequence of motions from a motion database. Typically, this is done in two stages: planning a route and then sampling motions from the database to follow that route. We introduce an environment-aware motion sampling technique that combines the planning and sampling stages. Our observation is that in the traditional approach the route generated in the first stage over-constrains the motion sampling so that it is relatively implausible that a human would follow this animation. We combine the motion sampling and planning and show that we can find shorter and more plausible animations.
机译:合理的人类动画的创建仍然是计算机图形的多年生问题。为了构造长期动画,常见的是从运动数据库缝合一系列动作。通常,这是在两个阶段完成的:规划路由,然后从数据库中采样动作以遵循该路线。我们介绍了一种环境感知的运动采样技术,该技术结合了规划和采样阶段。我们的观察是,在传统方法中,第一阶段产生的路线过度约束运动采样,以便人类遵循此动画是相对令人难以信子。我们结合了运动抽样和规划,并表明我们可以找到更短,更合理的动画。

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