Soft Body Animation in Real-Time Simulations by

This thesis presents a novel approach for creating deformable object animations. A deformable object can be represented as a discrete lattice of particles, and transforming those particles defines a new state for the represented object. By applying shape matching techniques, we are able to adapt traditional mesh based animations to this representation. We then allow these particles to take place in a soft body physics simulation. By making the particles track positions defined in the animation, soft body tracking of user created animation has been made possible