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

Contributor(s):

Material type: Text

TextSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 10302Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017Description: XV, 708 p. 244 illus. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783319587714

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

006.37 23

LOC classification:

TA1634

Online resources:

Click here to access online

Contents:

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.

In: Springer Nature eBookSummary: 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.

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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.

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