Variational, Geometric, and Level Set Methods in Computer Vision

Variational, Geometric, and Level Set Methods in Computer Vision
Author: Nikos Paragios
Publisher: Springer Science & Business Media
Total Pages: 378
Release: 2005-10-04
Genre: Computers
ISBN: 3540293485

This book constitutes the refereed proceedings of the Third International Workshop on Variational, Geometric and Level Set Methods in Computer Vision, VLSM 2005, held in Beijing, China in October 2005 within the scope of ICCV 2005, the International Conference on Computer Vision. The 30 revised full papers presented were carefully reviewed and selected for inclusion in the book. The papers are organized in topical sections and sub-sections as follows: image filtering and reconstruction - image enhancement, inpainting and compression; segmentation and grouping - model-free and model-based segmentation; registration and motion analysis - registration of curves and images, multi-frame segmentation; 3D and reconstruction - computational processes in manifolds, shape from shading, calibration and stereo reconstruction.

Geometric Level Set Methods in Imaging, Vision, and Graphics

Geometric Level Set Methods in Imaging, Vision, and Graphics
Author: Stanley Osher
Publisher: Springer Science & Business Media
Total Pages: 523
Release: 2007-05-08
Genre: Computers
ISBN: 0387218106

Here is, for the first time, a book that clearly explains and applies new level set methods to problems and applications in computer vision, graphics, and imaging. It is an essential compilation of survey chapters from the leading researchers in the field. The applications of the methods are emphasized.

Inverse Problems in Vision and 3D Tomography

Inverse Problems in Vision and 3D Tomography
Author: Ali Mohamad-Djafari
Publisher: John Wiley & Sons
Total Pages: 369
Release: 2013-01-29
Genre: Technology & Engineering
ISBN: 1118600460

The concept of an inverse problem is a familiar one to most scientists and engineers, particularly in the field of signal and image processing, imaging systems (medical, geophysical, industrial non-destructive testing, etc.), and computer vision. In imaging systems, the aim is not just to estimate unobserved images but also their geometric characteristics from observed quantities that are linked to these unobserved quantities by a known physical or mathematical relationship. In this manner techniques such as image enhancement or addition of hidden detail can be delivered. This book focuses on imaging and vision problems that can be clearly described in terms of an inverse problem where an estimate for the image and its geometrical attributes (contours and regions) is sought. The book uses a consistent methodology to examine inverse problems such as: noise removal; restoration by deconvolution; 2D or 3D reconstruction in X-ray, tomography or microwave imaging; reconstruction of the surface of a 3D object using X-ray tomography or making use of its shading; reconstruction of the surface of a 3D landscape based on several satellite photos; super-resolution; motion estimation in a sequence of images; separation of several images mixed using instruments with different sensitivities or transfer functions; and much more.

Computer Vision - ECCV 2004

Computer Vision - ECCV 2004
Author: Tomas Pajdla
Publisher: Springer Science & Business Media
Total Pages: 647
Release: 2004-04-28
Genre: Computers
ISBN: 3540219811

The four-volume set comprising LNCS volumes 3021/3022/3023/3024 constitutes the refereed proceedings of the 8th European Conference on Computer Vision, ECCV 2004, held in Prague, Czech Republic, in May 2004. The 190 revised papers presented were carefully reviewed and selected from a total of 555 papers submitted. The four books span the entire range of current issues in computer vision. The papers are organized in topical sections on tracking; feature-based object detection and recognition; geometry; texture; learning and recognition; information-based image processing; scale space, flow, and restoration; 2D shape detection and recognition; and 3D shape representation and reconstruction.

Computer Vision, Graphics and Image Processing

Computer Vision, Graphics and Image Processing
Author: Prem Kalra
Publisher: Springer
Total Pages: 980
Release: 2007-01-01
Genre: Computers
ISBN: 354068302X

This book constitutes the refereed proceedings of the Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2006, held in Madurai, India, December 2006. Coverage in this volume includes image restoration and super-resolution, image filtering, visualization, tracking and surveillance, face-, gesture-, and object-recognition, compression, content based image retrieval, stereo/camera calibration, and biometrics.

Variational and Level Set Methods in Computer Vision

Variational and Level Set Methods in Computer Vision
Author:
Publisher: IEEE Computer Society Press
Total Pages: 216
Release: 2001
Genre: Computers
ISBN: 9780769512785

Annotation Twenty-five papers from the July 2001 conference in Canada focus on recent innovations in computer vision applications, with attention to both the mathematical and computational frameworks involved. Specific papers address topics like restoration, registration, de-blurring, invariant edge completion, segmentation, 3D and level sets, and tracking. Papers and posters are both represented. Participants in a panel discussion are listed. Author index only. c. Book News Inc.

Topology and Robotics

Topology and Robotics
Author: Michael Farber
Publisher: American Mathematical Soc.
Total Pages: 202
Release: 2007
Genre: Mathematics
ISBN: 0821842463

Ever since the literary works of Capek and Asimov, mankind has been fascinated by the idea of robots. Modern research in robotics reveals that along with many other branches of mathematics, topology has a fundamental role to play in making these grand ideas a reality. This volume summarizes recent progress in the field of topological robotics--a new discipline at the crossroads of topology, engineering and computer science. Currently, topological robotics is developing in two main directions. On one hand, it studies pure topological problems inspired by robotics and engineering. On the other hand, it uses topological ideas, topological language, topological philosophy, and specially developed tools of algebraic topology to solve problems of engineering and computer science. Examples of research in both these directions are given by articles in this volume, which is designed to be a mixture of various interesting topics of pure mathematics and practical engineering.

Scale Space and Variational Methods in Computer Vision

Scale Space and Variational Methods in Computer Vision
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.

Visualization and Processing of Tensor Fields

Visualization and Processing of Tensor Fields
Author: David H. Laidlaw
Publisher: Springer Science & Business Media
Total Pages: 379
Release: 2009-03-30
Genre: Mathematics
ISBN: 3540883789

This book provides researchers an inspirational look at how to process and visualize complicated 2D and 3D images known as tensor fields. With numerous color figures, it details both the underlying mathematics and the applications of tensor fields.

Visualization and Processing of Tensor Fields

Visualization and Processing of Tensor Fields
Author: Joachim Weickert
Publisher: Springer Science & Business Media
Total Pages: 478
Release: 2007-06-25
Genre: Mathematics
ISBN: 3540312722

Matrix-valued data sets – so-called second order tensor fields – have gained significant importance in scientific visualization and image processing due to recent developments such as diffusion tensor imaging. This book is the first edited volume that presents the state of the art in the visualization and processing of tensor fields. It contains some longer chapters dedicated to surveys and tutorials of specific topics, as well as a great deal of original work by leading experts that has not been published before. It serves as an overview for the inquiring scientist, as a basic foundation for developers and practitioners, and as as a textbook for specialized classes and seminars for graduate and doctoral students.