Scale Space and Variational Methods in Computer Vision 6th International Conference, SSVM 2017, Kolding, Denmark, June 4-8, 2017, Proceedings /
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, 10302 3004-9954 ; .
- Image Processing, Computer Vision, Pattern Recognition, and Graphics, 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
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 Computation.
TA1634
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
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 Computation.
TA1634
006.37