We present a new dense multi-view registration technique for wide-baseline video/images that integrates a parametric optical flowbased approach with a sparse set of feature corres...
Gulcin Caner, A. Murat Tekalp, Gaurav Sharma, Wend...
We present a supervised classification model based on a variational approach. This model is specifically devoted to textured images. We want to get a partition of an image, compos...
In this paper, we propose a robust supervised label transfer method for the semantic segmentation of street scenes. Given an input image of street scene, we first find multiple ima...
Abstract. We have investigated a combination of statistical modelling and expectation maximisation for a texture based approach to the segmentation of mammographic images. Texture ...
Reyer Zwiggelaar, Lilian Blot, David Raba, Erika R...
The problem of dynamical tomography consists in reconstructing a temporal sequence of images from their noisy projections. For this purpose, a recursive algorithm is usually used,...