2008 · 13 citations · 16 references
EngineeringMechanical EngineeringPhysicsApplied MechanicsComputational MechanicsComputational PhysicsMonte Carlo MethodsParticle FilteringParticle MethodsParticle-based SimulationDeformable ModelsFiltersGradient DescentParticle FiltersPhysical PropertiesStiffnessStochastic Gradient Descent
This paper presents a new approach for estimating physical properties of deformable models from experimental measurements. In contrast to most previous work, we introduce a new method based on particle filters which identifies the different stiffness properties for spring-based models. This approach addresses some important limitations encountered with gradient descent techniques which often converge towards ill solutions or remain fixed in local minima conditions.
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