Scale Space and Variational Methods in Computer Vision 6th International Conference, SSVM 2017, Kolding, Denmark, June 4-8, 2017, Proceedings / [electronic resource] :
edited by François Lauze, Yiqiu Dong, Anders Bjorholm Dahl.
- 1st ed. 2017.
- XV, 708 p. 244 illus. online resource.
- Image Processing, Computer Vision, Pattern Recognition, and Graphics ; Lecture Notes in Computer Science 10302 10302 .
- Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 10302 Lecture Notes in Computer Science ; 10302 .
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.
9783319587714
10.1007/978-3-319-58771-4 doi
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 Devices.
TA1630-1650
006.6 006.37
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.
9783319587714
10.1007/978-3-319-58771-4 doi
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 Devices.
TA1630-1650
006.6 006.37