3D vision

Approximation methods in imaging

Compressed sensing

Convex and nonconvex optimization

Cross-scale structure

Differential geometry and invariants

Image- and feature analysis

Imaging modalities

Implicit surfaces

Inverse problems in imaging

Machine learning in imaging

Manifold-valued data processing

Mathematics of novel imaging methods

Medical imaging and other applications     

Motion estimation and tracking

Multi-orientation and multi-scale modelling and analysis

Optical flow

Optimization methods in imaging

PDEs in data processing

Perceptual grouping

Registration

Restoration and reconstruction

Scale-space methods

Segmentation

Selection of salient scales

Shape from X

Stereo and multi-view reconstruction

(Sub-)Riemannian geometry

Surface and shape modelling and analysis

Variational methods