Lecture Notes in Computer Science - Scale Space and Variational Methods in Computer Vision
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Published By Springer International Publishing

9783030223670, 9783030223687

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Compressing Audio Signals with Inpainting-Based Sparsification

Lecture Notes in Computer Science - Scale Space and Variational Methods in Computer Vision ◽

10.1007/978-3-030-22368-7_8 ◽

2019 ◽

pp. 92-103

Author(s):

Pascal Peter ◽

Jan Contelly ◽

Joachim Weickert

Keyword(s):

Audio Signals

Lattice Metric Space Application to Grain Defect Detection

Lecture Notes in Computer Science - Scale Space and Variational Methods in Computer Vision ◽

10.1007/978-3-030-22368-7_30 ◽

2019 ◽

pp. 381-392

Author(s):

Yuchen He ◽

Sung Ha Kang

Keyword(s):

Defect Detection ◽

Metric Space ◽

Space Application

Sparsification Scale-Spaces

Lecture Notes in Computer Science - Scale Space and Variational Methods in Computer Vision ◽

10.1007/978-3-030-22368-7_24 ◽

2019 ◽

pp. 303-314

Author(s):

Marcelo Cárdenas ◽

Pascal Peter ◽

Joachim Weickert

Keyword(s):

Scale Spaces

The Convex-Hull-Stripping Median Approximates Affine Curvature Motion

Lecture Notes in Computer Science - Scale Space and Variational Methods in Computer Vision ◽

10.1007/978-3-030-22368-7_16 ◽

2019 ◽

pp. 199-210

Author(s):

Martin Welk ◽

Michael Breuß

Keyword(s):

Convex Hull ◽

Curvature Motion ◽

Affine Curvature

Pseudodifferential Inpainting: The Missing Link Between PDE- and RBF-Based Interpolation

Lecture Notes in Computer Science - Scale Space and Variational Methods in Computer Vision ◽

10.1007/978-3-030-22368-7_6 ◽

2019 ◽

pp. 67-78

Author(s):

Matthias Augustin ◽

Joachim Weickert ◽

Sarah Andris

Keyword(s):

Missing Link

Deep Eikonal Solvers

Lecture Notes in Computer Science - Scale Space and Variational Methods in Computer Vision ◽

10.1007/978-3-030-22368-7_4 ◽

2019 ◽

pp. 38-50

Author(s):

Moshe Lichtenstein ◽

Gautam Pai ◽

Ron Kimmel

Direct MRI Segmentation from k-Space Data by Iterative Potts Minimization

Lecture Notes in Computer Science - Scale Space and Variational Methods in Computer Vision ◽

10.1007/978-3-030-22368-7_32 ◽

2019 ◽

pp. 406-418

Author(s):

Lukas Kiefer ◽

Stefania Petra ◽

Martin Storath ◽

Andreas Weinmann

Keyword(s):

Mri Segmentation ◽

Space Data

Aorta Centerline Smoothing and Registration Using Variational Models

Lecture Notes in Computer Science - Scale Space and Variational Methods in Computer Vision ◽

10.1007/978-3-030-22368-7_35 ◽

2019 ◽

pp. 447-458

Author(s):

Luis Alvarez ◽

Daniel Santana-Cedrés ◽

Pablo G. Tahoces ◽

José M. Carreira

Keyword(s):

Variational Models

Variational Registration of Multiple Images with the SVD Based $$\mathrm {S}q\mathrm {N}$$ Distance Measure

Lecture Notes in Computer Science - Scale Space and Variational Methods in Computer Vision ◽

10.1007/978-3-030-22368-7_20 ◽

2019 ◽

pp. 251-262 ◽

Cited By ~ 1

Author(s):

Kai Brehmer ◽

Hari Om Aggrawal ◽

Stefan Heldmann ◽

Jan Modersitzki

Keyword(s):

Distance Measure ◽

Multiple Images

A Cortical-Inspired Model for Orientation-Dependent Contrast Perception: A Link with Wilson-Cowan Equations

Lecture Notes in Computer Science - Scale Space and Variational Methods in Computer Vision ◽

10.1007/978-3-030-22368-7_37 ◽

2019 ◽

pp. 472-484 ◽

Cited By ~ 2

Author(s):

Marcelo Bertalmío ◽

Luca Calatroni ◽

Valentina Franceschi ◽

Benedetta Franceschiello ◽

Dario Prandi

Keyword(s):

Contrast Perception

Lecture Notes in Computer Science - Scale Space and Variational Methods in Computer VisionLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Compressing Audio Signals with Inpainting-Based Sparsification

Lattice Metric Space Application to Grain Defect Detection

Sparsification Scale-Spaces

The Convex-Hull-Stripping Median Approximates Affine Curvature Motion

Pseudodifferential Inpainting: The Missing Link Between PDE- and RBF-Based Interpolation

Deep Eikonal Solvers

Direct MRI Segmentation from k-Space Data by Iterative Potts Minimization

Aorta Centerline Smoothing and Registration Using Variational Models

Variational Registration of Multiple Images with the SVD Based $$\mathrm {S}q\mathrm {N}$$ Distance Measure

A Cortical-Inspired Model for Orientation-Dependent Contrast Perception: A Link with Wilson-Cowan Equations

Lecture Notes in Computer Science - Scale Space and Variational Methods in Computer Vision
Latest Publications