Coverart for item
The Resource Energy Minimization Methods in Computer Vision and Pattern Recognition : 9th International Conference, EMMCVPR 2013, Lund, Sweden, August 19-21, 2013 : proceedings, Anders Heyden, Fredrik Kahl, Carl Olsson, Magnus Oskarsson, Xue-Cheng Tai (eds.)

Energy Minimization Methods in Computer Vision and Pattern Recognition : 9th International Conference, EMMCVPR 2013, Lund, Sweden, August 19-21, 2013 : proceedings, Anders Heyden, Fredrik Kahl, Carl Olsson, Magnus Oskarsson, Xue-Cheng Tai (eds.)

Label
Energy Minimization Methods in Computer Vision and Pattern Recognition : 9th International Conference, EMMCVPR 2013, Lund, Sweden, August 19-21, 2013 : proceedings
Title
Energy Minimization Methods in Computer Vision and Pattern Recognition
Title remainder
9th International Conference, EMMCVPR 2013, Lund, Sweden, August 19-21, 2013 : proceedings
Statement of responsibility
Anders Heyden, Fredrik Kahl, Carl Olsson, Magnus Oskarsson, Xue-Cheng Tai (eds.)
Creator
Contributor
Editor
Subject
Genre
Language
eng
Summary
This volume constitutes the refereed proceedings of the 9th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2013, held in Lund, Sweden, in August 2013. The 26 revised full papers were carefully reviewed and selected from 40 submissions. The papers are organized in topical sections on Medical Imaging; Image Editing; 3D Reconstruction; Shape Matching; Scene Understanding; Segmentation; Superpixels; Statistical Methods and Learning
Member of
Cataloging source
GW5XE
Dewey number
006.37
Illustrations
illustrations
Index
index present
LC call number
TA1634
LC item number
.E46 2013
Literary form
non fiction
http://bibfra.me/vocab/lite/meetingDate
2013
http://bibfra.me/vocab/lite/meetingName
EMMCVPR (Conference)
Nature of contents
  • dictionaries
  • bibliography
NLM call number
TA 1634
http://library.link/vocab/relatedWorkOrContributorName
  • Heyden, Anders
  • Kahl, Fredrik
  • Olsson, Carl
  • Magnús Óskarsson
  • Tai, Xue-Cheng
Series statement
  • Lecture notes in computer science,
  • LNCS sublibrary. SL 6, image processing, computer vision, pattern recognition, and graphics
Series volume
8081
http://library.link/vocab/subjectName
  • Computer vision
  • Pattern recognition systems
  • Pattern Recognition, Automated
  • Conservation of Energy Resources
  • Image Processing, Computer-Assisted
  • Artificial Intelligence
  • Computer vision
  • Pattern recognition systems
Label
Energy Minimization Methods in Computer Vision and Pattern Recognition : 9th International Conference, EMMCVPR 2013, Lund, Sweden, August 19-21, 2013 : proceedings, Anders Heyden, Fredrik Kahl, Carl Olsson, Magnus Oskarsson, Xue-Cheng Tai (eds.)
Instantiates
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Analysis of Bayesian Blind Deconvolution
  • David Wipf and Haichao Zhang
  • A Variational Method for Expanding the Bit-Depth of Low Contrast Image
  • Motong Qiao, Wei Wang and Michael K. Ng
  • 3D Reconstruction.
  • Variational Shape from Light Field
  • Stefan Heber, Rene Ranftl and Thomas Pock
  • Simultaneous Fusion Moves for 3D-Label Stereo
  • Johannes Ulén, Carl Olsson
  • Efficient Convex Optimization for Minimal Partition Problems with Volume Constraints
  • Medical Imaging.
  • Thomas Möllenhoff [and others]
  • Rapid Mode Estimation for 3D Brain MRI Tumor Segmentation
  • Haithem Boussaid, Iasonas Kokkinos and Nikos Paragios
  • Jointly Segmenting Prostate Zones in 3D MRIs by Globally Optimized Coupled Level-Sets
  • Jing Yuan [and others]
  • Image Editing.
  • Linear Osmosis Models for Visual Computing
  • Joachim Weickert [and others]
  • An Optimal Control Approach to Find Sparse Data for Laplace Interpolation
  • Laurent Hoeltgen, Simon Setzer and Joachim Weickert
  • Curvature Regularization for Resolution-Independent Images
  • John MacCormick and Andrew Fitzgibbon
  • Scene Understanding.
  • PoseField: An Efficient Mean-Field Based Method for Joint Estimation of Human Pose, Segmentation, and Depth
  • Vibhav Vineet [and others]
  • Semantic Video Segmentation from Occlusion Relations within a Convex Optimization Framework
  • Brian Taylor [and others]
  • A Co-occurrence Prior for Continuous Multi-label Optimization
  • Shape Matching.
  • Mohamed Souiai [and others]
  • Discrete Geodesic Regression in Shape Space
  • Benjamin Berkels [and others]
  • Object Segmentation by Shape Matching with Wasserstein Modes
  • Bernhard Schmitzer and Christoph Schnörr
  • Learning a Model for Shape-Constrained Image Segmentation from Weakly Labeled Data
  • Boris Yangel and Dmitry Vetrov
  • Image Restoration.
  • Segmenting Planar Superpixel Adjacency Graphs w.r.t. Non-planar Superpixel Affinity Graphs
  • Bjoern Andres [and others]
  • Contour-Relaxed Superpixels
  • Christian Conrad, Matthias Mertz and Rudolf Mester
  • Statistical Methods and Learning.
  • Sparse-MIML: A Sparsity-Based Multi-Instance Multi-Learning Algorithm
  • Chenyang Shen, Liping Jing and Michael K. Ng
  • Consensus Clustering with Robust Evidence Accumulation
  • André Lourenço [and others]
  • Segmentation II.
  • Segmentation I.
  • Variational Image Segmentation and Cosegmentation with the Wasserstein Distance
  • Paul Swoboda, Christoph Schnörr
  • A Convex Formulation for Global Histogram Based Binary Segmentation
  • Romain Yıldızoğlu, Jean-François Aujol and Nicolas Papadakis
  • A Continuous Shape Prior for MRF-Based Segmentation
  • Dmitrij Schlesinger
  • Convex Relaxations for a Generalized Chan-Vese Model
  • Egil Bae, Jan Lellmann and Xue-Cheng Tai
  • Multiclass Segmentation by Iterated ROF Thresholding
  • Xiaohao Cai and Gabriele Steidl
  • A Generic Convexification and Graph Cut Method for Multiphase Image Segmentation
  • Jun Liu, Xue-Cheng Tai and Shingyu Leung
  • Superpixels.
Control code
859204306
Dimensions
unknown
Extent
1 online resource (xii, 363 pages)
File format
unknown
Form of item
online
Isbn
9783642403941
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-642-40395-8
Other physical details
illustrations.
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)859204306
Label
Energy Minimization Methods in Computer Vision and Pattern Recognition : 9th International Conference, EMMCVPR 2013, Lund, Sweden, August 19-21, 2013 : proceedings, Anders Heyden, Fredrik Kahl, Carl Olsson, Magnus Oskarsson, Xue-Cheng Tai (eds.)
Publication
Copyright
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Analysis of Bayesian Blind Deconvolution
  • David Wipf and Haichao Zhang
  • A Variational Method for Expanding the Bit-Depth of Low Contrast Image
  • Motong Qiao, Wei Wang and Michael K. Ng
  • 3D Reconstruction.
  • Variational Shape from Light Field
  • Stefan Heber, Rene Ranftl and Thomas Pock
  • Simultaneous Fusion Moves for 3D-Label Stereo
  • Johannes Ulén, Carl Olsson
  • Efficient Convex Optimization for Minimal Partition Problems with Volume Constraints
  • Medical Imaging.
  • Thomas Möllenhoff [and others]
  • Rapid Mode Estimation for 3D Brain MRI Tumor Segmentation
  • Haithem Boussaid, Iasonas Kokkinos and Nikos Paragios
  • Jointly Segmenting Prostate Zones in 3D MRIs by Globally Optimized Coupled Level-Sets
  • Jing Yuan [and others]
  • Image Editing.
  • Linear Osmosis Models for Visual Computing
  • Joachim Weickert [and others]
  • An Optimal Control Approach to Find Sparse Data for Laplace Interpolation
  • Laurent Hoeltgen, Simon Setzer and Joachim Weickert
  • Curvature Regularization for Resolution-Independent Images
  • John MacCormick and Andrew Fitzgibbon
  • Scene Understanding.
  • PoseField: An Efficient Mean-Field Based Method for Joint Estimation of Human Pose, Segmentation, and Depth
  • Vibhav Vineet [and others]
  • Semantic Video Segmentation from Occlusion Relations within a Convex Optimization Framework
  • Brian Taylor [and others]
  • A Co-occurrence Prior for Continuous Multi-label Optimization
  • Shape Matching.
  • Mohamed Souiai [and others]
  • Discrete Geodesic Regression in Shape Space
  • Benjamin Berkels [and others]
  • Object Segmentation by Shape Matching with Wasserstein Modes
  • Bernhard Schmitzer and Christoph Schnörr
  • Learning a Model for Shape-Constrained Image Segmentation from Weakly Labeled Data
  • Boris Yangel and Dmitry Vetrov
  • Image Restoration.
  • Segmenting Planar Superpixel Adjacency Graphs w.r.t. Non-planar Superpixel Affinity Graphs
  • Bjoern Andres [and others]
  • Contour-Relaxed Superpixels
  • Christian Conrad, Matthias Mertz and Rudolf Mester
  • Statistical Methods and Learning.
  • Sparse-MIML: A Sparsity-Based Multi-Instance Multi-Learning Algorithm
  • Chenyang Shen, Liping Jing and Michael K. Ng
  • Consensus Clustering with Robust Evidence Accumulation
  • André Lourenço [and others]
  • Segmentation II.
  • Segmentation I.
  • Variational Image Segmentation and Cosegmentation with the Wasserstein Distance
  • Paul Swoboda, Christoph Schnörr
  • A Convex Formulation for Global Histogram Based Binary Segmentation
  • Romain Yıldızoğlu, Jean-François Aujol and Nicolas Papadakis
  • A Continuous Shape Prior for MRF-Based Segmentation
  • Dmitrij Schlesinger
  • Convex Relaxations for a Generalized Chan-Vese Model
  • Egil Bae, Jan Lellmann and Xue-Cheng Tai
  • Multiclass Segmentation by Iterated ROF Thresholding
  • Xiaohao Cai and Gabriele Steidl
  • A Generic Convexification and Graph Cut Method for Multiphase Image Segmentation
  • Jun Liu, Xue-Cheng Tai and Shingyu Leung
  • Superpixels.
Control code
859204306
Dimensions
unknown
Extent
1 online resource (xii, 363 pages)
File format
unknown
Form of item
online
Isbn
9783642403941
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-642-40395-8
Other physical details
illustrations.
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)859204306

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