Scale Space and Variational Methods in Computer Vision : 10th International Conference, SSVM 2025, Dartington, UK, May 18–22, 2025, Proceedings, Part II / edited by Tatiana A. Bubba, Romina Gaburro, Silvia Gazzola, Kostas Papafitsoros, Marcelo Pereyra, Carola-Bibiane Schönlieb.

Format:

Book

Contributor:

Bubba, Tatiana A., Editor.

Gaburro, Romina., Editor.

Gazzola, Silvia, Editor.

Papafitsoros, Kostas., Editor.

Pereyra, Marcelo, Editor.

Schönlieb, Carola-Bibiane., Editor.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 15668

Language:

English

Subjects (All):

Image processing.

Image processing--Digital techniques.

Computer vision.

Computer networks.

Machine learning.

Computer science--Mathematics.

Computer science.

Image Processing.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Computer Communication Networks.

Machine Learning.

Mathematics of Computing.

Local Subjects:

Image Processing.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Computer Communication Networks.

Machine Learning.

Mathematics of Computing.

Physical Description:

1 online resource (XVII, 433 p. 135 illus., 106 illus. in color.)

Edition:

1st ed. 2025.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2025.

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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-031-92369-3

OCLC:

1524425077