Scale Space and Variational Methods in Computer Vision - 10th International Conference, SSVM 2025, Dartington, UK, May 18-22, 2025, Proceedings, Part I

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.

Summary

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.

Product details

• Assisted by: Tatiana A. Bubba (Editor), Romina Gaburro (Editor), Silvia Gazzola (Editor), Silvia Gazzola et al (Editor), Kostas Papafitsoros (Editor), Marcelo Pereyra (Editor), Carola-Bibiane Schönlieb (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Release: 23.07.2025
• EAN: 9783031923654
• ISBN: 978-3-0-3192365-4
• No. of pages: 406
• Illustrations: XII, 406 p. 141 illus.
• Series: Lecture Notes in Computer Science
• Subjects: Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering; machine learning, Maschinelles Lernen, Optimization, angewandte informatik, Netzwerk-Hardware, Bildverarbeitung, Mathematik für Informatiker, Computer Vision, Computer Imaging, Vision, Pattern Recognition and Graphics, Computer and Information Systems Applications, Computer Communication Networks, Mathematics of Computing, Partial Differential Equations, Image processing, variational methods, inverse problems, mathematical imaging