The 11^th edition of SSVM will convene in Veldhoven, the Netherlands, continuing the biennal series following the 2025 edition in Dartington, UK. The conference serves as a primary forum for researchers at the intersection of continuous mathematics and computer vision. The core focus is on the mathematical formulation of imaging problems using continuous-domain modeling, including but not limited to: variational methods, geometry, PDEs, machine learning etc.

Topics

Submissions to this conference cover a wide variety of intersection points between mathematics and imaging. A selection of topics include:

• Geometric Learning
• 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
• Image 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

Support

SSVM 2027 is grateful for the support of the following organizations: