SSVM 2021 - Eighth 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.
Conference topics include the following areas:
3D vision
Approximation methods in imaging
Compressed sensing
Convex and non-convex variational models
Cross-scale structure
Differential geometry and invariants
Image- and feature analysis
Imaging modalities
Implicit surfaces
Inverse problems in imaging
Machine learning in imaging
Manifold 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 in imaging
Surface and shape modelling and analysis
Variational methods