Scale Space and Variational Methods in Computer Vision

Beschreibung

The two-volume set LNCS 15667 and 15668 constitutes the proceedings of the 10th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2025, which took place in Dartington, UK, in May 2025.

The total of 63 full papers accepted in the proceedings were carefully reviewed and selected from 81 submissions. They were organized in topical sections as follows: 

Part I: Inverse Problems in Imaging; machine and deep learning in imaging; 

Part II: Optimization for imaging: theory and methods; scale space, PDES, flow, motion and registration.

Autor*in

Tatiana A. Bubba

Themen in »Scale Space and Variational Methods in Computer Vision«

image processing mathematical imaging computer vision variational methods partial differential equations optimization inverse problems machine learning

Stimmen zu »Scale Space and Variational Methods in Computer Vision«

Details

Link teilen