Energy Minimization Methods in Computer Vision and Pattern Recognition 9th International Conference, EMMCVPR 2013, Lund, Sweden, August 19-21, 2013 : proceedings /
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...
| Corporate Authors: | EMMCVPR (Conference) Lund, Sweden) |
|---|---|
| Other Authors: | EMMCVPR (Conference), Heyden, Anders,, Kahl, Fredrik,, Olsson, Carl,, Magnús Óskarsson,, Tai, Xue-Cheng,, SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
Heidelberg :
Springer,
[2013]
|
| Physical Description: |
1 online resource (xii, 363 pages) : illustrations. |
| Series: |
Lecture notes in computer science ;
8081. LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics. |
| Subjects: |
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| 245 | 1 | 0 | |a Energy Minimization Methods in Computer Vision and Pattern Recognition : |b 9th International Conference, EMMCVPR 2013, Lund, Sweden, August 19-21, 2013 : proceedings / |c Anders Heyden, Fredrik Kahl, Carl Olsson, Magnus Oskarsson, Xue-Cheng Tai (eds.). |
| 264 | 1 | |a Heidelberg : |b Springer, |c [2013] | |
| 264 | 4 | |c ©2013. | |
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| 490 | 1 | |a Lecture notes in computer science, |x 0302-9743 ; |v 8081. | |
| 490 | 1 | |a LNCS sublibrary. SL 6, image processing, computer vision, pattern recognition, and graphics. | |
| 505 | 0 | 0 | |t Medical Imaging. |t Rapid Mode Estimation for 3D Brain MRI Tumor Segmentation / |r Haithem Boussaid, Iasonas Kokkinos and Nikos Paragios -- |t Jointly Segmenting Prostate Zones in 3D MRIs by Globally Optimized Coupled Level-Sets / |r Jing Yuan [and others] -- |t Image Editing. |t Linear Osmosis Models for Visual Computing / |r Joachim Weickert [and others] -- |t Analysis of Bayesian Blind Deconvolution / |r David Wipf and Haichao Zhang -- |t A Variational Method for Expanding the Bit-Depth of Low Contrast Image / |r Motong Qiao, Wei Wang and Michael K. Ng -- |t 3D Reconstruction. |t Variational Shape from Light Field / |r Stefan Heber, Rene Ranftl and Thomas Pock -- |t Simultaneous Fusion Moves for 3D-Label Stereo / |r Johannes Ulén, Carl Olsson -- |t Efficient Convex Optimization for Minimal Partition Problems with Volume Constraints / |r Thomas Möllenhoff [and others]. |
| 505 | 8 | 0 | |t Shape Matching. |t Discrete Geodesic Regression in Shape Space / |r Benjamin Berkels [and others] -- |t Object Segmentation by Shape Matching with Wasserstein Modes / |r Bernhard Schmitzer and Christoph Schnörr -- |t Learning a Model for Shape-Constrained Image Segmentation from Weakly Labeled Data / |r Boris Yangel and Dmitry Vetrov -- |t Image Restoration. |t An Optimal Control Approach to Find Sparse Data for Laplace Interpolation / |r Laurent Hoeltgen, Simon Setzer and Joachim Weickert -- |t Curvature Regularization for Resolution-Independent Images / |r John MacCormick and Andrew Fitzgibbon -- |t Scene Understanding. |t PoseField: An Efficient Mean-Field Based Method for Joint Estimation of Human Pose, Segmentation, and Depth / |r Vibhav Vineet [and others] -- |t Semantic Video Segmentation from Occlusion Relations within a Convex Optimization Framework / |r Brian Taylor [and others] -- |t A Co-occurrence Prior for Continuous Multi-label Optimization / |r Mohamed Souiai [and others]. |
| 505 | 8 | 0 | |t Segmentation I. |t Convex Relaxations for a Generalized Chan-Vese Model / |r Egil Bae, Jan Lellmann and Xue-Cheng Tai -- |t Multiclass Segmentation by Iterated ROF Thresholding / |r Xiaohao Cai and Gabriele Steidl -- |t A Generic Convexification and Graph Cut Method for Multiphase Image Segmentation / |r Jun Liu, Xue-Cheng Tai and Shingyu Leung -- |t Superpixels. |t Segmenting Planar Superpixel Adjacency Graphs w.r.t. Non-planar Superpixel Affinity Graphs / |r Bjoern Andres [and others] -- |t Contour-Relaxed Superpixels / |r Christian Conrad, Matthias Mertz and Rudolf Mester -- |t Statistical Methods and Learning. |t Sparse-MIML: A Sparsity-Based Multi-Instance Multi-Learning Algorithm / |r Chenyang Shen, Liping Jing and Michael K. Ng -- |t Consensus Clustering with Robust Evidence Accumulation / |r André Lourenço [and others] -- |t Segmentation II. |t Variational Image Segmentation and Cosegmentation with the Wasserstein Distance / |r Paul Swoboda, Christoph Schnörr -- |t A Convex Formulation for Global Histogram Based Binary Segmentation / |r Romain Yıldızoğlu, Jean-François Aujol and Nicolas Papadakis -- |t A Continuous Shape Prior for MRF-Based Segmentation / |r Dmitrij Schlesinger. |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Online resource; title from PDF title page (SpringerLink, viewed October 1, 2013). | |
| 520 | |a 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. | ||
| 650 | 0 | |a Computer vision |v Congresses. | |
| 650 | 0 | |a Pattern recognition systems |v Congresses. | |
| 650 | 0 | |a Pattern recognition systems. | |
| 650 | 0 | |a Energy conservation. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 2 | |a Pattern Recognition, Automated. | |
| 650 | 2 | |a Conservation of Energy Resources. | |
| 650 | 2 | |a Image Processing, Computer-Assisted |x methods. | |
| 650 | 2 | |a Artificial Intelligence. | |
| 650 | 6 | |a Vision par ordinateur |v Congrès. | |
| 650 | 6 | |a Reconnaissance des formes (Informatique) |v Congrès. | |
| 650 | 6 | |a Reconnaissance des formes (Informatique) | |
| 650 | 6 | |a Économies d'énergie. | |
| 650 | 6 | |a Intelligence artificielle. | |
| 650 | 7 | |a energy conservation. |2 aat. | |
| 650 | 7 | |a artificial intelligence. |2 aat. | |
| 650 | 7 | |a Energy conservation. |2 fast. | |
| 650 | 7 | |a Artificial intelligence. |2 fast. | |
| 650 | 7 | |a Computer vision. |2 fast. | |
| 650 | 7 | |a Pattern recognition systems. |2 fast. | |
| 655 | 2 | |a Congress. | |
| 655 | 7 | |a proceedings (reports) |2 aat. | |
| 655 | 7 | |a Conference papers and proceedings. |2 fast. | |
| 655 | 7 | |a Conference papers and proceedings. |2 lcgft. | |
| 655 | 7 | |a Actes de congrès. |2 rvmgf. | |
| 700 | 1 | |a Heyden, Anders, |e editor. | |
| 700 | 1 | |a Kahl, Fredrik, |e editor. | |
| 700 | 1 | |a Olsson, Carl, |e editor. | |
| 700 | 0 | |a Magnús Óskarsson, |e editor. | |
| 700 | 1 | |a Tai, Xue-Cheng, |e editor. | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 776 | 0 | 8 | |i Printed edition: |z 9783642403941. |
| 830 | 0 | |a Lecture notes in computer science ; |v 8081. | |
| 830 | 0 | |a LNCS sublibrary. |n SL 6, |p Image processing, computer vision, pattern recognition, and graphics. | |
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