We propose a novel interactive multi-label RGB-D image segmentation method by extending spatially varying color distributions [14] to additionally utilize depth information in two ...
Abstract. We exploit recent progress on globally optimal MAP inference by integer programming and perturbation-based approximations of the log-partition function. This enables to l...
Abstract. The recently introduced second order total generalised variation functional TGV2 β,α has been a successful regulariser for image processing purposes. Its definition in...
Abstract. Multi-level texture separation can considerably improve texture analysis, a significant component in many computer vision tasks. This paper aims at obtaining precise loc...
Abstract. We propose a new methodology based on bilevel programming to remove additive white Gaussian noise from images. The lowerlevel problem consists of a parameterized variatio...
We show how the axiomatic structure of scale-space theory can be applied to the auditory domain and be used for deriving idealized models of auditory receptive fields via scale-sp...
We propose a novel shape optimization algorithm for region-based active contour models. Region-based active contours are preferred for many segmentation problems, because they inco...
In this paper, we show that the anisotropic nonlocal total variation involved in the image regularization model of Gilboa and Osher [15] as well as in the perceptual color correcti...