Fingerprint matching is the most important module in automatic person recognition using fingerprints. We model the nonlinear distortions and noise obtained during the fingerprint ...
In imaging applications, computation is often carried out in a derivative (gradient) domain. For example, we can attenuate small image differences by thresholding the gradient and...
In previous work on "transformed mixtures of Gaussians" and "transformed hidden Markov models", we showed how the EM algorithm in a discrete latent variable mo...
This work reduces the computational requirements of the additive noise steganalysis presented by Harmsen and Pearlman. The additive noise model assumes that the stegoimage is crea...
Jeremiah J. Harmsen, Kevin D. Bowers, William A. P...
Visualizing iso-surfaces of volumetric data sets is becoming increasingly important for many practical applications. One crucial task in iso-surface ray tracing is to find the cor...
Gerd Marmitt, Andreas Kleer, Ingo Wald, Heiko Frie...