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We present a novel probabilistic method to estimate the orientation field in fingerprint images. Traditional approach based on the smoothing of local image gradients usually generates unsatisfactory results in poor quality regions of fingerprint images. We show how to improve the orientation field estimation by first constructing a Markov random field (MRF) and then inferring the orientation field...
We propose a method for estimating camera response functions using a probabilistic intensity similarity measure. The similarity measure represents the likelihood of two intensity observations corresponding to the same scene radiance in the presence of noise. We show that the response function and the intensity similarity measure are strongly related. Our method requires several input images of a static...
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