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Scale Space and Variational Methods in Computer Vision

Scale Space and Variational Methods in Computer Vision

7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 – July 4, 2019, Proceedings

Contenu

This book constitutes the proceedings of the 7th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2019, held in Hofgeismar, Germany, in June/July 2019.

The 44 papers included in this volume were carefully reviewed and selected for inclusion in this book. They were organized in topical sections named: 3D vision and feature analysis; inpainting, interpolation and compression; inverse problems in imaging; optimization methods in imaging; PDEs and level-set methods; registration and reconstruction; scale-space methods; segmentation and labeling; and variational methods.

Informations bibliographiques

juin 2019, env. 574 pages, Image Processing, Computer Vision, Pattern Recognition, and Graphics, Lecture Notes in Computer Science, Anglais
Springer Nature EN
978-3-030-22367-0

Mots-clés

Autres titres de la collection: Image Processing, Computer Vision, Pattern Recognition, and Graphics

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