Medical image simulation produces virtual images from software representations of imaging devices and virtual object models representing the human body. Object models consist of t...
—Model-based development techniques enable a high efficiency and the mastering of complexity. For many domains more than one model has to be used to express the relevant informat...
Matthias Riebisch, Stephan Bode, Qurat-ul-ann Faro...
In this paper, we present an efficient general-purpose objective no-reference (NR) image quality assessment (IQA) framework based on unsupervised feature learning. The goal is to...
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
We perform shape matching by transforming the problem of establishing shape correspondences into an image registration problem. At each vertex on the shape, we calculate a shape f...