Planning Plausible Human Animation with Environment-Aware Motion Sampling

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.