| Description |
1 online resource (xvii, 574 pages) : illustrations (some color) |
| Series |
Lecture notes in computer science ; 11603 |
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LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics |
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Lecture notes in computer science ; 11603.
|
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LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
|
| Contents |
Intro; Preface; Tribute to Mila Nikolova (1962-2018); Organization; Contents; 3D Vision and Feature Analysis; The Fractional Harris-Laplace Feature Detector; 1 Introduction; 2 Fractional Differentiation; 2.1 The CRONE Operator; 3 The Harris-Laplace Detector; 4 The Fractional Harris-Laplace Detector; 5 Results; 5.1 Boats1 Sequence; 5.2 Boats2 Sequence; 6 Discussion; 7 Future Directions; References; Macrocanonical Models for Texture Synthesis; 1 Introduction; 2 Maximum Entropy Models; 2.1 Microcanonical Models; 2.2 Macrocanonical Models; 2.3 Some Feature Examples |
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3 Minimization and Sampling Algorithm3.1 Maximizing the Entropy; 3.2 Sampling from Gibbs Measures; 3.3 Combining Dynamics; 4 Experiments; 4.1 Empirical Convergence of the Sampling Algorithm; 4.2 Neural Network Features; 4.3 Comparison with State-of-the Art Methods; 5 Perspectives; References; Finding Structure in Point Cloud Data with the Robust Isoperimetric Loss; 1 Introduction; 1.1 Previous Work and Challenges; 2 Preliminaries and Main Assumptions; 3 Proposed Approach; 3.1 Outlier Estimation; 3.2 Step 2: Adaptive Regularization Using the Isoperimetric Loss (IPL); 4 Experimental Results |
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4.1 Manifold Denoising4.2 The RIPL Approach; 4.3 Experiments with Real Data: Application to Motion Segmentation; 4.4 Experiments with Real Data: Application with 3D Laser Scan Data; 5 Discussion; References; Deep Eikonal Solvers; 1 Introduction; 2 Background; 2.1 The Eikonal Equation; 2.2 Numerical Approximation; 2.3 Fast Eikonal Solvers; 3 Deep Eikonal Solver; 3.1 Training the Local Solver; 3.2 Deep Eikonal Solver for Cartesian Grids; 4 Deep Eikonal Solver for Triangulated Meshes; 4.1 Experimental Results; 5 Conclusion; References |
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A Splitting-Based Algorithm for Multi-view Stereopsis of Textureless Objects1 Introduction; 2 Preliminaries; 3 A Generic Splitting Strategy for Multi-view Stereo; 4 Regularizers for Textureless Multi-view Stereopsis; 5 Experimental Results; 6 Conclusion and Perspectives; References; Inpainting, Interpolation and Compression; Pseudodifferential Inpainting: The Missing Link Between PDE- and RBF-Based Interpolation; 1 Introduction; 2 From Harmonic to Pseudodifferential Inpainting; 3 Interpolation with Radial Basis Functions; 4 Connecting both Worlds; 5 One Numerical Algorithm for All Approaches |
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6 Experiments7 Conclusions and Outlook; References; Towards PDE-Based Video Compression with Optimal Masks and Optic Flow; 1 Introduction; 2 Discussion of Considered Models and Methods; 2.1 Image Inpainting with PDEs; 2.2 Extension from Images to Videos; 2.3 Optical Flow; 3 Combining Optimal Masks with Flow Data; 4 Experimental Evaluation; 4.1 Methods Considered; 4.2 Evaluation; 4.3 Influence of the Optical Flow; 4.4 Evaluation of the Reconstruction Error; 5 Summary and Conclusion; References; Compressing Audio Signals with Inpainting-Based Sparsification; 1 Introduction |
| Summary |
This book constitutes the proceedings of the 7th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2019, held in Hofgeismar, Germany, in June/July 2019. The 44 papers included in this volume were carefully reviewed and selected for inclusion in this book. They were organized in topical sections named: 3D vision and feature analysis; inpainting, interpolation and compression; inverse problems in imaging; optimization methods in imaging; PDEs and level-set methods; registration and reconstruction; scale-space methods; segmentation and labeling; and variational methods |
| Notes |
Includes author index |
| Subject |
Computer vision -- Congresses
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Computer vision
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| Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Lellmann, Jan, editor
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Burger, Martin (Mathematician), editor.
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Modersitzki, Jan, editor
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| ISBN |
9783030223687 |
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303022368X |
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