On Variational Methods And Gradient Flows In Image Processing
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| Author | : Luminita A. Vese |
| Publisher | : CRC Press |
| Total Pages | : 416 |
| Release | : 2015-11-18 |
| Genre | : Computers |
| ISBN | : 1439849749 |
Variational Methods in Image Processing presents the principles, techniques, and applications of variational image processing. The text focuses on variational models, their corresponding Euler-Lagrange equations, and numerical implementations for image processing. It balances traditional computational models with more modern techniques that solve t
| Author | : Amar Mitiche |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 212 |
| Release | : 2013-09-05 |
| Genre | : Technology & Engineering |
| ISBN | : 3319007114 |
This book presents a unified view of image motion analysis under the variational framework. Variational methods, rooted in physics and mechanics, but appearing in many other domains, such as statistics, control, and computer vision, address a problem from an optimization standpoint, i.e., they formulate it as the optimization of an objective function or functional. The methods of image motion analysis described in this book use the calculus of variations to minimize (or maximize) an objective functional which transcribes all of the constraints that characterize the desired motion variables. The book addresses the four core subjects of motion analysis: Motion estimation, detection, tracking, and three-dimensional interpretation. Each topic is covered in a dedicated chapter. The presentation is prefaced by an introductory chapter which discusses the purpose of motion analysis. Further, a chapter is included which gives the basic tools and formulae related to curvature, Euler Lagrange equations, unconstrained descent optimization, and level sets, that the variational image motion processing methods use repeatedly in the book.
| Author | : Alfred M. Bruckstein |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 811 |
| Release | : 2012-01-09 |
| Genre | : Computers |
| ISBN | : 3642247849 |
This book constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on Scale Space Methods and Variational Methods in Computer Vision, SSVM 2011, held in Ein-Gedi, Israel in May/June 2011. The 24 revised full papers presented together with 44 poster papers were carefully reviewed and selected from 78 submissions. The papers are organized in topical sections on denoising and enhancement, segmentation, image representation and invariants, shape analysis, and optical flow.
| Author | : Xue-Cheng Tai |
| Publisher | : Springer |
| Total Pages | : 882 |
| Release | : 2009-05-24 |
| Genre | : Computers |
| ISBN | : 3642022561 |
This book contains 71 original, scienti?c articles that address state-of-the-art researchrelatedto scale space and variationalmethods for image processing and computer vision. Topics covered in the book range from mathematical analysis of both established and new models, fast numerical methods, image analysis, segmentation, registration, surface and shape construction and processing, to real applications in medical imaging and computer vision. The ideas of scale spaceandvariationalmethodsrelatedtopartialdi?erentialequationsarecentral concepts. The papers re?ect the newest developments in these ?elds and also point to the latest literature. All the papers were submitted to the Second International Conference on Scale Space and Variational Methods in Computer Vision, which took place in Voss, Norway, during June 1–5, 2009. The papers underwent a peer review process similar to that of high-level journals in the ?eld. We thank the authors, the Scienti?c Committee, the Program Committee and the reviewers for their hard work and helpful collaboration. Their contribution has been crucial for the e?cient processing of this book, and for the success of the conference.
| Author | : Abderrahim Elmoataz |
| Publisher | : Springer Nature |
| Total Pages | : 584 |
| Release | : 2021-04-29 |
| Genre | : Computers |
| ISBN | : 3030755495 |
This book constitutes the proceedings of the 8th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2021, which took place during May 16-20, 2021. The conference was planned to take place in Cabourg, France, but changed to an online format due to the COVID-19 pandemic. The 45 papers included in this volume were carefully reviewed and selected from a total of 64 submissions. They were organized in topical sections named as follows: scale space and partial differential equations methods; flow, motion and registration; optimization theory and methods in imaging; machine learning in imaging; segmentation and labelling; restoration, reconstruction and interpolation; and inverse problems in imaging.
| Author | : Fiorella Sgallari |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 946 |
| Release | : 2007-05-24 |
| Genre | : Computers |
| ISBN | : 3540728228 |
This book constitutes the refereed proceedings of the First International Conference on Scale Space Methods and Variational Methods in Computer Vision, SSVM 2007, emanated from the joint edition of the 4th International Workshop on Variational, Geometric and Level Set Methods in Computer Vision, VLSM 2007 and the 6th International Conference on Scale Space and PDE Methods in Computer Vision, Scale-Space 2007, held in Ischia Italy, May/June 2007.
| Author | : François Lauze |
| Publisher | : Springer |
| Total Pages | : 712 |
| Release | : 2017-05-16 |
| Genre | : Computers |
| ISBN | : 3319587714 |
This book constitutes the refereed proceedings of the 6th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2017, held in Kolding, Denmark, in June 2017. The 55 revised full papers presented were carefully reviewed and selected from 77 submissions. The papers are organized in the following topical sections: Scale Space and PDE Methods; Restoration and Reconstruction; Tomographic Reconstruction; Segmentation; Convex and Non-Convex Modeling and Optimization in Imaging; Optical Flow, Motion Estimation and Registration; 3D Vision.
| Author | : Jan Lellmann |
| Publisher | : Springer |
| Total Pages | : 574 |
| Release | : 2019-06-21 |
| Genre | : Computers |
| ISBN | : 303022368X |
This book constitutes the proceedings of the 7th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2019, held in Hofgeismar, Germany, in June/July 2019. The 44 papers included in this volume were carefully reviewed and selected for inclusion in this book. They were organized in topical sections named: 3D vision and feature analysis; inpainting, interpolation and compression; inverse problems in imaging; optimization methods in imaging; PDEs and level-set methods; registration and reconstruction; scale-space methods; segmentation and labeling; and variational methods.
| Author | : |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 665 |
| Release | : 2006 |
| Genre | : Computer vision |
| ISBN | : 3540338365 |
| Author | : Zhang, Yu-Jin |
| Publisher | : IGI Global |
| Total Pages | : 472 |
| Release | : 2006-05-31 |
| Genre | : Technology & Engineering |
| ISBN | : 1591407559 |
"This book attempts to bring together a selection of the latest results of state-of-the art research in image and video segmentation, one of the most critical tasks of image and video analysis that has the objective of extracting information (represented by data) from an image or a sequence of images (video)"--Provided by publisher.
