Elmoataz Scale Space and Variational Methods in Computer Vision

Scale Space and Variational Methods in Computer Vision

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8th International Conference, SSVM 2021, Virtual Event, May 16–20, 2021, Proceedings

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Beschreibung

This book constitutes the proceedings of the 8th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2021, which took place during May 16-20, 2021. The conference was planned to take place in Cabourg, France, but changed to an online format due to the COVID-19 pandemic.
The 45 papers included in this volume were carefully reviewed and selected from a total of 64 submissions. They were organized in topical sections named as follows: scale space and partial differential equations methods; flow, motion and registration; optimization theory and methods in imaging; machine learning in imaging; segmentation and labelling; restoration, reconstruction and interpolation; and inverse problems in imaging. 

Autor*in

Abderrahim Elmoataz

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

communication systems computer networks computer vision correlation analysis image analysis image processing image quality image reconstruction image segmentation inverse problems machine learning mathematical imaging numerical methods optimization partial differential equations

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

Details

ISBN: 9783030755485
Verlag: Springer International Publishing
Erscheinung: 30.04.2021

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