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.
Material type: TextSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 10302 | Lecture Notes in Computer Science ; 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 resourceISBN: 9783319587714Subject(s): Optical data processing | Computer graphics | Pattern recognition | Algorithms | Application software | Computers | Image Processing and Computer Vision | Computer Graphics | Pattern Recognition | Algorithm Analysis and Problem Complexity | Information Systems Applications (incl. Internet) | Computation by Abstract DevicesAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.6 | 006.37 LOC classification: TA1630-1650Online resources: Click here to access onlineCurrent library | Home library | Call number | Materials specified | URL | Status | Date due | Barcode |
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IMSc Library | IMSc Library | Link to resource | Available | EBK15092 |
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.
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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