We present a novel multi-view denoising algorithm. Our
algorithm takes noisy images taken from different viewpoints
as input and groups similar patches in the input images using
...
Hailin Jin, Li Zhang, Shree K. Nayar, Sundeep Vadd...
We address the problem of identifying dry areas in the tear film as part of a diagnostic tool for dry-eye syndrome. The requirement is to identify and measure the growth of the dry...
Tamir Yedidya, Peter Carr, Richard Hartley, Jea...
We explore the idea of evidence accumulation for combining the results of multiple clusterings. Initially, n d-dimensional data is decomposed into a large number of compact cluste...
We propose a novel Bayesian registration formulation in which image location is represented as a latent random variable. Location is marginalized to determine the maximum a priori ...
We propose machine learning methods for the estimation of deformation fields that transform two given objects into each other, thereby establishing a dense point to point correspo...