Scale Space and Variational Methods in Computer Vision: 6th International Conference, SSVM 2017, Kolding, Denmark, June 4-8, 2017, Proceedings

This book constitutes the refereed proceedings of the 6th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2017, held in Kolding, Denmark, in June 2017. The 55 revised full papers presented were carefully reviewed and selected from 77 submissions. The papers a...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Weitere Verfasser: Lauze, Francois (HerausgeberIn) , Dong, Yiqiu (HerausgeberIn) , Dahl, Anders Bjorholm (HerausgeberIn)
Dokumenttyp: Buch/Monographie
Sprache:Englisch
Veröffentlicht: Cham Springer 2017
Schriftenreihe:Lecture notes in computer science 10302
In: Lecture notes in computer science (10302)

Volumes / Articles: Show Volumes / Articles.
DOI:10.1007/978-3-319-58771-4
Schlagworte:
Online-Zugang:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1007/978-3-319-58771-4
Verlag, Zentralblatt MATH, Inhaltstext: https://zbmath.org/?q=an:1362.68015
Volltext
Verfasserangaben:edited by François Lauze, Yiqiu Dong, Anders Bjorholm Dahl
Beschreibung
Zusammenfassung:This book constitutes the refereed proceedings of the 6th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2017, held in Kolding, Denmark, in June 2017. The 55 revised full papers presented were carefully reviewed and selected from 77 submissions. The papers are organized in the following topical sections: Scale Space and PDE Methods; Restoration and Reconstruction; Tomographic Reconstruction; Segmentation; Convex and Non-Convex Modeling and Optimization in Imaging; Optical Flow, Motion Estimation and Registration; 3D Vision
Scale Space and PDE Methods -- Restoration and Reconstruction -- Tomographic Reconstruction -- Segmentation -- Convex and Non-Convex Modeling and Optimization in Imaging -- Optical Flow, Motion Estimation and Registration -- 3D Vision
Beschreibung:Online Resource
ISBN:9783319587714
DOI:10.1007/978-3-319-58771-4