Scale Space and Variational Methods in Computer Vision [electronic resource] : 6th International Conference, SSVM 2017, Kolding, Denmark, June 4-8, 2017, Proceedings / edited by François Lauze, Yiqiu Dong, Anders Bjorholm Dahl.
Contributor(s): Lauze, François [editor.] | Dong, Yiqiu [editor.] | Dahl, Anders Bjorholm [editor.] | SpringerLink (Online service).
Material type: BookSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics: 10302Publisher: Cham : Springer International Publishing : Imprint: Springer, 2017Edition: 1st ed. 2017.Description: XV, 708 p. 244 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319587714.Subject(s): Computer vision | Computer graphics | Pattern recognition systems | Algorithms | Application software | Computer science | Computer Vision | Computer Graphics | Automated Pattern Recognition | Algorithms | Computer and Information Systems Applications | Theory of ComputationAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.37 Online resources: Click here to access onlineScale 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.
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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