Lecture Notes in Computer Science - Scale Space and Variational Methods in Computer Vision
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Published By Springer Berlin Heidelberg

9783642022555, 9783642022562

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Tracking Closed Curves with Non-linear Stochastic Filters

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

10.1007/978-3-642-02256-2_48 ◽

2009 ◽

pp. 576-587 ◽

Cited By ~ 4

Author(s):

Christophe Avenel ◽

Etienne Mémin ◽

Patrick Pérez

Keyword(s):

Closed Curves ◽

Non Linear

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Transitions of a Multi-scale Image Hierarchy Tree

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

10.1007/978-3-642-02256-2_70 ◽

2009 ◽

pp. 844-855

Author(s):

Arjan Kuijper

Keyword(s):

Multi Scale

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A Schrödinger Equation for the Fast Computation of Approximate Euclidean Distance Functions

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

10.1007/978-3-642-02256-2_9 ◽

2009 ◽

pp. 100-111 ◽

Cited By ~ 8

Author(s):

Karthik S. Gurumoorthy ◽

Anand Rangarajan

Keyword(s):

Schrödinger Equation ◽

Schrodinger Equation ◽

Euclidean Distance ◽

Distance Functions ◽

Fast Computation

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Scale Spaces on the 3D Euclidean Motion Group for Enhancement of HARDI Data

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

10.1007/978-3-642-02256-2_68 ◽

2009 ◽

pp. 820-831 ◽

Cited By ~ 3

Author(s):

Erik Franken ◽

Remco Duits

Keyword(s):

Motion Group ◽

Euclidean Motion Group ◽

Euclidean Motion ◽

Scale Spaces

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Optimization of Convex Shapes: An Approach to Crystal Shape Identification

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

10.1007/978-3-642-02256-2_55 ◽

2009 ◽

pp. 660-671

Author(s):

Timo Eirola ◽

Toni Lassila

Keyword(s):

Crystal Shape ◽

Shape Identification

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A Variational Model for Interactive Shape Prior Segmentation and Real-Time Tracking

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

10.1007/978-3-642-02256-2_17 ◽

2009 ◽

pp. 200-211 ◽

Cited By ~ 5

Author(s):

Manuel Werlberger ◽

Thomas Pock ◽

Markus Unger ◽

Horst Bischof

Keyword(s):

Real Time ◽

Variational Model ◽

Shape Prior ◽

Real Time Tracking

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Image Denoising Using TV-Stokes Equation with an Orientation-Matching Minimization

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

10.1007/978-3-642-02256-2_41 ◽

2009 ◽

pp. 490-501 ◽

Cited By ~ 6

Author(s):

Xue-Cheng Tai ◽

Sofia Borok ◽

Jooyoung Hahn

Keyword(s):

Image Denoising ◽

Stokes Equation

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An Implicit Method for Interpolating Two Digital Closed Curves on Parallel Planes

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

10.1007/978-3-642-02256-2_56 ◽

2009 ◽

pp. 672-683

Author(s):

Nikolaos Gabrielides ◽

Laurent Cohen

Keyword(s):

Implicit Method ◽

Closed Curves

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Optimization of Divergences within the Exponential Family for Image Segmentation

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

10.1007/978-3-642-02256-2_12 ◽

2009 ◽

pp. 137-149 ◽

Cited By ~ 3

Author(s):

Francois Lecellier ◽

Stephanie Jehan-Besson ◽

Jalal Fadili ◽

Gilles Aubert ◽

Marinette Revenu

Keyword(s):

Image Segmentation ◽

Exponential Family

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Convex Multi-class Image Labeling by Simplex-Constrained Total Variation

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

10.1007/978-3-642-02256-2_13 ◽

2009 ◽

pp. 150-162 ◽

Cited By ~ 60

Author(s):

Jan Lellmann ◽

Jörg Kappes ◽

Jing Yuan ◽

Florian Becker ◽

Christoph Schnörr

Keyword(s):

Total Variation ◽

Image Labeling

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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 Berlin Heidelberg

Tracking Closed Curves with Non-linear Stochastic Filters

Transitions of a Multi-scale Image Hierarchy Tree

A Schrödinger Equation for the Fast Computation of Approximate Euclidean Distance Functions

Scale Spaces on the 3D Euclidean Motion Group for Enhancement of HARDI Data

Optimization of Convex Shapes: An Approach to Crystal Shape Identification

A Variational Model for Interactive Shape Prior Segmentation and Real-Time Tracking

Image Denoising Using TV-Stokes Equation with an Orientation-Matching Minimization

An Implicit Method for Interpolating Two Digital Closed Curves on Parallel Planes

Optimization of Divergences within the Exponential Family for Image Segmentation

Convex Multi-class Image Labeling by Simplex-Constrained Total Variation

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