Lauze Scale Space and Variational Methods in Computer Vision

Scale Space and Variational Methods in Computer Vision

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6th International Conference, SSVM 2017, Kolding, Denmark, June 4-8, 2017, Proceedings

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Beschreibung

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.
Includes supplementary material: sn.pub/extras

Autor*in

François Lauze

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

Image analysis PDE Scale space Variational methods Optimization Segmentation Tomography Registration Optical flow 3D vision algorithm analysis and problem complexity

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

Details

ISBN: 9783319587707
Verlag: Springer International Publishing
Erscheinung: 18.05.2017

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