SSVM 2019 — Seventh International Conference on Scale Space and Variational Methods in Computer Vision

SSVM is a biannual meeting within the area of Computer Vision and Image Analysis. SSVM focuses especially on multiscale analysis of image content, partial differential equations, geometric and level-set methods, variational methods, and optimization.

Topics: 3D vision, Color enhancement, Compressed sensing, Convex and non-convex modeling, Cross-scale structure, Differential geometry and invariants, Image- and feature analysis, Imaging modalities, Implicit surfaces, Inpainting, Inverse problems in imaging, Level-set methods, Manifold-valued data processing, Mathematics of novel imaging methods, Medical imaging and other applications, Motion estimation and tracking, Multi-orientation analysis, Multi-scale shape analysis, Optical flow, Optimization methods in imaging, PDEs in image 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 modelling, Variational methods, Wavelets and image decomposition