Abstract: Phase distortion caused by nonlinearity remains a critical challenge in high-accuracy fringe projection profilometry (FPP). Existing nonlinearity correction methods suffer from significant ...
Abstract: A novel first-order method is proposed for training generative adversarial networks (GANs). It modifies the Gauss-Newton method to approximate the min-max Hessian and uses the ...