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

9783319184609, 9783319184616

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Bézier Curves in the Space of Images

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

10.1007/978-3-319-18461-6_30 ◽

2015 ◽

pp. 372-384 ◽

Cited By ~ 1

Author(s):

Alexander Effland ◽

Martin Rumpf ◽

Stefan Simon ◽

Kirsten Stahn ◽

Benedikt Wirth

Keyword(s):

Bezier Curves ◽

Bézier Curves

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Infinite Dimensional Optimization Models and PDEs for Dejittering

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

10.1007/978-3-319-18461-6_54 ◽

2015 ◽

pp. 678-689 ◽

Cited By ~ 3

Author(s):

Guozhi Dong ◽

Aniello Raffaele Patrone ◽

Otmar Scherzer ◽

Ozan Öktem

Keyword(s):

Optimization Models ◽

Infinite Dimensional ◽

Dimensional Optimization ◽

Infinite Dimensional Optimization

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Partial Differential Equations of Bivariate Median Filters

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

10.1007/978-3-319-18461-6_5 ◽

2015 ◽

pp. 53-65 ◽

Cited By ~ 3

Author(s):

Martin Welk

Keyword(s):

Partial Differential Equations ◽

Differential Equations ◽

Partial Differential ◽

Median Filters

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Variational Perspective Shape from Shading

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

10.1007/978-3-319-18461-6_43 ◽

2015 ◽

pp. 538-550

Author(s):

Yong Chul Ju ◽

Andrés Bruhn ◽

Michael Breuß

Keyword(s):

Shape From Shading

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Activity Identification and Local Linear Convergence of Douglas–Rachford/ADMM under Partial Smoothness

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

10.1007/978-3-319-18461-6_51 ◽

2015 ◽

pp. 642-653 ◽

Cited By ~ 7

Author(s):

Jingwei Liang ◽

Jalal Fadili ◽

Gabriel Peyré ◽

Russell Luke

Keyword(s):

Linear Convergence ◽

Partial Smoothness ◽

Local Linear Convergence ◽

Local Linear

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An image registration framework for sliding motion with piecewise smooth deformations

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

10.1007/978-3-319-18461-6_27 ◽

2015 ◽

pp. 335-347 ◽

Cited By ~ 4

Author(s):

Stefan Heldmann ◽

Thomas Polzin ◽

Alexander Derksen ◽

Benjamin Berkels

Keyword(s):

Image Registration ◽

Piecewise Smooth ◽

Sliding Motion

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Convex Color Image Segmentation with Optimal Transport Distances

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

10.1007/978-3-319-18461-6_21 ◽

2015 ◽

pp. 256-269 ◽

Cited By ~ 5

Author(s):

Julien Rabin ◽

Nicolas Papadakis

Keyword(s):

Image Segmentation ◽

Optimal Transport ◽

Color Image ◽

Color Image Segmentation

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Convex Image Denoising via Non-Convex Regularization

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

10.1007/978-3-319-18461-6_53 ◽

2015 ◽

pp. 666-677 ◽

Cited By ~ 17

Author(s):

Alessandro Lanza ◽

Serena Morigi ◽

Fiorella Sgallari

Keyword(s):

Image Denoising ◽

Convex Regularization

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Deformable Image Registration with Automatic Non-Correspondence Detection

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

10.1007/978-3-319-18461-6_29 ◽

2015 ◽

pp. 360-371 ◽

Cited By ~ 1

Author(s):

Kanglin Chen ◽

Alexander Derksen ◽

Stefan Heldmann ◽

Marc Hallmann ◽

Benjamin Berkels

Keyword(s):

Image Registration ◽

Deformable Image Registration

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Duality Principle for Image Regularization and Perceptual Color Correction Models

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

10.1007/978-3-319-18461-6_36 ◽

2015 ◽

pp. 449-460

Author(s):

Thomas Batard ◽

Marcelo Bertalmío

Keyword(s):

Color Correction ◽

Duality Principle ◽

Image Regularization

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

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Bézier Curves in the Space of Images

Infinite Dimensional Optimization Models and PDEs for Dejittering

Partial Differential Equations of Bivariate Median Filters

Variational Perspective Shape from Shading

Activity Identification and Local Linear Convergence of Douglas–Rachford/ADMM under Partial Smoothness

An image registration framework for sliding motion with piecewise smooth deformations

Convex Color Image Segmentation with Optimal Transport Distances

Convex Image Denoising via Non-Convex Regularization

Deformable Image Registration with Automatic Non-Correspondence Detection

Duality Principle for Image Regularization and Perceptual Color Correction Models

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