Rig-based physics simulation
A method is disclosed for applying physics-based simulation to an animator provided rig. The disclosure presents equations of motions for simulations performed in the subspace of deformations defined by an animator's rig. The method receives an input rig with a plurality of deformation parameters, and the dynamics of the character are simulated in the subspace of deformations described by the character's rig. In certain embodiments, the present disclosure provides a method that transforms stiffness values defined on rig parameters to a non-homogeneous distribution of material parameters for the underlying rig.
1. A method comprising:
receiving an animation rig with a plurality of rig parameters, the rig parameters defining a deformation space for an attached surface mesh, the attached surface mesh comprising a plurality of nodes;
receiving material stiffness data on a subset of the rig parameters, the material stiffness data defining a stiffness scale value for each of the subset of the rig parameters, wherein the stiffness scale value is relative to a stiffness of a homogeneous material chosen for a finite element method model derived from the attached surface mesh,
using the rig and the material stiffness data to influence a physics-based simulation of the effects of one or more of gravity, inertia, and penalty-collisions on the subset of the rig parameters, wherein the physics-based simulation of the effects of one or more of gravity, inertia, and penalty-collisions is constrained by the deformation space of the rig; and
generating a plurality of keyframes for some or all of the rig parameters of the animation rig as a result of the physics-based simulation of the effects of one or more of gravity, inertia, and penalty-collisions on the subset of the rig parameters.
2. The method of claim 1 , further comprising analyzing the simulation to create a set of high-level rig parameters, each high-level rig parameter being a combination of two or more of the rig parameters.
3. The method of claim 2 , further comprising using one or more of the high-level rig parameters to influence a second physics-based simulation; and
generating keyframes on the animation rig as a result of the second simulation.
4. The method of claim 1 , further comprising using one or more of the rig parameters to perform inverse kinematics calculations on the animation rig.
5. The method of claim 4 , wherein the rig parameters can be used to calculate an elastic energy, and
further wherein, using one or more of the rig parameters to perform inverse kinematics calculations on the animation rig comprises
receiving position values for a subset of the surface mesh nodes, and
calculating the remaining surface mesh node position values such that the elastic energy in the deformation space is substantially minimized.
6. A method comprising:
receiving an animation rig with a plurality of rig parameters, the rig parameters defining a deformation space for an attached surface mesh, the attached surface mesh comprising a plurality of nodes;
receiving material stiffness data on a subset of the rig parameters, the material stiffness data defining a stiffness scale value for each of the subset of the rig parameters, wherein the stiffness scale value is relative to a stiffness of a homogeneous material chosen for a finite element method model derived from the attached surface mesh;
performing a physics-based simulation of the effects of one or more of gravity, inertia, and penalty-collisions on the subset of the rig parameters, wherein the physics-based simulation of the effects of one or more of gravity, inertia, and penalty-collisions is constrained by the deformation space; and
generating a plurality of keyframes for the rig based on the results of the physics-based simulation of the effects of one or more of gravity, inertia, and penalty-collisions on the subset of the rig parameters.
7. The method of claim 6 further comprising receiving material stiffness data relating to the parameters,
wherein the simulation is both constrained by the deformation space and influenced by the material stiffness data.
8. The method of claim 7 , further comprising analyzing the simulation to create a set of high-level rig parameters, each high-level rig parameter being a combination of two or more of the rig parameters.
9. The method of claim 8 , further comprising using one or more of the high-level rig parameters to influence a second physics-based simulation; and
generating keyframes on the animation rig as a result of the second simulation.
10. The method of claim 6 , further comprising using one or more of the rig parameters to perform inverse kinematics calculations on the animation rig.
11. The method of claim 10 , wherein the rig parameters can be used to calculate an elastic energy, and
further wherein, using one or more of the rig parameters to perform inverse kinematics calculations on the animation rig comprises
receiving position values for a subset of the surface mesh nodes, and
calculating the remaining surface mesh node position values such that the elastic energy in the deformation space is substantially minimized.
12. A non-transitory computer readable medium comprising an instruction set configured to cause a computing device to perform:
receiving an animation rig with a plurality of rig parameters, the rig parameters defining a deformation space for an attached surface mesh, the attached surface mesh comprising a plurality of nodes;
receiving material stiffness data on a subset of the rig parameters, the material stiffness data defining a stiffness scale value for each of the subset of the rig parameters, wherein the stiffness scale value is relative to a stiffness of a homogeneous material chosen for a finite element method model derived from the attached surface mesh;
using the rig and the material stiffness data to influence a physics-based simulation of the effects of one or more of gravity, inertia, and penalty-collisions on the subset of the rig parameters, wherein the physics-based simulation of the effects of one or more of gravity, inertia, and penalty-collisions is constrained by the deformation space of the rig; and
generating a plurality of keyframes for some or all of the rig parameters of the animation rig as a result of the physics-based simulation of the effects of one or more of gravity, inertia, and penalty-collisions on the subset of the rig parameters.
13. The non-transitory computer readable medium of claim 12 , wherein the instruction set is further configured to cause a computing device to perform analyzing the simulation to create a set of high-level rig parameters, each high-level rig parameter being a combination of two or more of the rig parameters.
14. The non-transitory computer readable medium of claim 13 , wherein the instruction set is further configured to cause a computing device to perform:
using one or more of the high-level rig parameters to influence a second physics-based simulation; and
generating keyframes on the animation rig as a result of the second simulation.
15. The non-transitory computer readable medium of claim 12 , wherein the instruction set is further configured to cause a computing device to perform using one or more of the rig parameters to perform inverse kinematics calculations on the animation rig.
16. The non-transitory computer readable medium of claim 15 , wherein the rig parameters can be used to calculate an elastic energy, and
further wherein, using one or more of the rig parameters to perform inverse kinematics calculations on the animation rig comprises
receiving position values for a subset of the surface mesh nodes, and
calculating the remaining surface mesh node position values such that the elastic energy in the deformation space is substantially minimized.
17. A non-transitory computer readable medium comprising an instruction set configured to cause a computer device to perform:
receiving an animation rig with a plurality of rig parameters, the rig parameters defining a deformation space for an attached surface mesh, the attached surface mesh comprising a plurality of nodes;
receiving material stiffness data on a subset of the rig parameters, the material stiffness data defining a stiffness scale value for each of the subset of the rig parameters, wherein the stiffness scale value is relative to a stiffness of a homogenous material chosen for a finite element method model derived from the attached surface mesh;
performing a physics-based simulation of the effects of one or more of gravity, inertia, and penalty-collisions on the subset of the rig parameters, wherein the physics-based simulation of the effects of one or more of gravity, inertia, and penalty-collisions is constrained by the deformation space; and
generating a plurality of keyframes for the animation rig based on the results of the physics-based simulation of the effects of one or more of gravity, inertia, and penalty-collisions on the subset of the rig parameters.
18. The non-transitory computer readable medium of claim 17 , wherein
the instruction set is further configured to cause a computer device to perform the step of receiving material stiffness data relating to the parameters, and
further wherein the simulation is both constrained by the deformation space and influenced by the material stiffness data.
19. The non-transitory computer readable medium of claim 18 , wherein the instruction set is further configured to cause a computing device to perform analyzing the simulation to create a set of high-level rig parameters, each high-level rig parameter being a combination of two or more of the rig parameters.
20. The non-transitory computer readable medium of claim 19 , wherein the instruction set is further configured to cause a computing device to perform:
using one or more of the high-level rig parameters to influence a second physics-based simulation; and
generating keyframes on the animation rig as a result of the second simulation.
21. The non-transitory computer readable medium of claim 17 , wherein the instruction set is further configured to cause a computing device to perform using one or more of the rig parameters to perform inverse kinematics calculations on the animation rig.