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Form Surface Registration Using Surface Signatures Cvip Uofl

Form Surface Registration Using Surface Signatures Cvip Uofl

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solving inless elasticity simulations from camera observations is a hard problem in this work we propose another correspondence free cost function based on sparse surface constraints our optimization process takes death images from a single commodity our chibita camera as input adjoint grading based optimizer and links to lagrangian elasticity assimilation with an old Aryan model of the death observations our algorithm can successfully reconstruct blah scible object motions first we will analyze the stability of the convergence on a synthetic example here the ground truth simulation is shown with the simulated noisy observations to evaluate the convergence we sample twenty initial values for the Youngs models shown here are the minimal and maximal values in a first test we compare the convergence when a different number of cameras is used for eight cameras 19 out of 20 runs converged to the crown truth value of 5000 the conversion rate does not change when the number of cameras reduced

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