Computational Analysis Of Visual Motion

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Computational Analysis Of Visual Motion

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Author : Amar Mitiche
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-29

Computational Analysis Of Visual Motion written by Amar Mitiche and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-29 with Computers categories.

Image motion processing is important to machine vision systems because it can lead to the recovery of 3D structure and motion. Author Amar Mitiche offers a comprehensive mathematical treatment of this key subject in visual systems research. Mitiche examines the interpretation of point correspondences as well as the interpretation of straight line correspondences and optical flow. In addition, the author considers interpretation by knowledge-based systems and presents the relevant mathematical basis for 3D interpretation.

Computer Analysis Of Visual Motion And Its Applications In Outdoor Environments

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Author : José Miguel Sanchiz Martí
language : en
Publisher: Universitat Jaume I
Release Date : 1997

Computer Analysis Of Visual Motion And Its Applications In Outdoor Environments written by José Miguel Sanchiz Martí and has been published by Universitat Jaume I this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with categories.

Motion Vision

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Author : Johannes M. Zanker
language : en
Publisher: Springer Science & Business Media
Release Date : 2001

Motion Vision written by Johannes M. Zanker and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Computers categories.

Originated from a small workshop on the question of how image motion is processed under natural conditions that was held in 1997 at the Institute of Advanced Studies of the Australian National University in Canberra."--Pref.

Computer Vision Analysis Of Image Motion By Variational Methods

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Author : Amar Mitiche
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-09-05

Computer Vision Analysis Of Image Motion By Variational Methods written by Amar Mitiche and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-05 with Technology & Engineering categories.

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.

Readings In Computer Vision

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Author : Martin A. Fischler
language : en
Publisher: Elsevier
Release Date : 2014-06-28

Readings In Computer Vision written by Martin A. Fischler and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-28 with Computers categories.

The field of computer vision combines techniques from physics, mathematics, psychology, artificial intelligence, and computer science to examine how machines might construct meaningful descriptions of their surrounding environment. The editors of this volume, prominent researchers and leaders of the SRI International AI Center Perception Group, have selected sixty papers, most published since 1980, with the viewpoint that computer vision is concerned with solving seven basic problems: - Reconstructing 3D scenes from 2D images - Decomposing images into their component parts - Recognizing and assigning labels to scene objects - Deducing and describing relations among scene objects - Determining the nature of computer architectures that can support the visual function - Representing abstractions in the world of computer memory - Matching stored descriptions to image representation Each chapter of this volume addresses one of these problems through an introductory discussion, which identifies major ideas and summarizes approaches, and through reprints of key research papers. Two appendices on crucial assumptions in image interpretation and on parallel architectures for vision applications, a glossary of technical terms, and a comprehensive bibliography and index complete the volume.

Motion Vision

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Author : J. Kolodko
language : en
Publisher: IET
Release Date : 2005

Motion Vision written by J. Kolodko and has been published by IET this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Science categories.

This comprehensive book deals with motion estimation for autonomous systems from a biological, algorithmic and digital perspective. An algorithm, which is based on the optical flow constraint equation, is described in detail.

Analog Vlsi Circuits For The Perception Of Visual Motion

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Author : Alan A. Stocker
language : en
Publisher: John Wiley & Sons
Release Date : 2006-03-30

Analog Vlsi Circuits For The Perception Of Visual Motion written by Alan A. Stocker and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-03-30 with Technology & Engineering categories.

Although it is now possible to integrate many millions of transistors on a single chip, traditional digital circuit technology is now reaching its limits, facing problems of cost and technical efficiency when scaled down to ever-smaller feature sizes. The analysis of biological neural systems, especially for visual processing, has allowed engineers to better understand how complex networks can effectively process large amounts of information, whilst dealing with difficult computational challenges. Analog and parallel processing are key characteristics of biological neural networks. Analog VLSI circuits using the same features can therefore be developed to emulate brain-style processing. Using standard CMOS technology, they can be cheaply manufactured, permitting efficient industrial and consumer applications in robotics and mobile electronics. This book explores the theory, design and implementation of analog VLSI circuits, inspired by visual motion processing in biological neural networks. Using a novel approach pioneered by the author himself, Stocker explains in detail the construction of a series of electronic chips, providing the reader with a valuable practical insight into the technology. Analog VLSI Circuits for the Perception of Visual Motion: analyses the computational problems in visual motion perception; examines the issue of optimization in analog networks through high level processes such as motion segmentation and selective attention; demonstrates network implementation in analog VLSI CMOS technology to provide computationally efficient devices; sets out measurements of final hardware implementation; illustrates the similarities of the presented circuits with the human visual motion perception system; includes an accompanying website with video clips of circuits under real-time visual conditions and additional supplementary material. With a complete review of all existing neuromorphic analog VLSI systems for visual motion sensing, Analog VLSI Circuits for the Perception of Visual Motion is a unique reference for advanced students in electrical engineering, artificial intelligence, robotics and computational neuroscience. It will also be useful for researchers, professionals, and electronics engineers working in the field.

Multimedia Computer Graphics And Broadcasting Part Ii

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Author : Tai-hoon Kim
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-11-29

Multimedia Computer Graphics And Broadcasting Part Ii written by Tai-hoon Kim and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-29 with Computers categories.

The two volume set, CCIS 262 and 263, constitutes the refereed proceedings of the International Conference, MulGraB 2011, held as Part of the Future Generation Information Technology Conference, FGIT 2011, in conjunction with GDC 2011, Jeju Island, Korea, in December 2011. The papers presented were carefully reviewed and selected from numerous submissions and focuse on the various aspects of multimedia, computer graphics and broadcasting.

Computer Analysis Of Images And Patterns

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Author : Dmitry Chetverikov
language : en
Publisher: Springer Science & Business Media
Release Date : 1993-08-30

Computer Analysis Of Images And Patterns written by Dmitry Chetverikov and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-08-30 with Technology & Engineering categories.

This volume constitutes the proceedings of the 5th International Conference on Computer Analysis of Images and Patterns (CAIP'93), held in Budapest, Hungary, in September 1993. Formerly, the events in this biennial conference series were thought as a forum where East European researchers and professionals from academia and industry had an opportunity to discuss their results and ideas with Western colleagues active in image processing and pattern recognition. Now, CAIP'93 has a much more international scope, and in the future these conferences will not any longertake place only in East European countries, but roam throughout whole Europe. Besides invited talks by Belikova, Gimel'farb, Haralick and Roska, the volume contains 114 contributions, either presented as lectures or posters and carefully selected by a highly competent international program committee from a total of some 230 submissions; thus the book gives a thorough survey on recent research results and their applications in image processing and pattern recognition. The proceedings is organized in 20 sections, for example on image data structures, image processing, edges and contours, Hough transforms and related methods, shape, motion, 3-D vision, character recognition and document processing, biomedical applications, industrial applications, and neural networks.

Variational And Level Set Methods In Image Segmentation

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Author : Amar Mitiche
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-10-22

Variational And Level Set Methods In Image Segmentation written by Amar Mitiche and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-22 with Technology & Engineering categories.

Image segmentation consists of dividing an image domain into disjoint regions according to a characterization of the image within or in-between the regions. Therefore, segmenting an image is to divide its domain into relevant components. The efficient solution of the key problems in image segmentation promises to enable a rich array of useful applications. The current major application areas include robotics, medical image analysis, remote sensing, scene understanding, and image database retrieval. The subject of this book is image segmentation by variational methods with a focus on formulations which use closed regular plane curves to define the segmentation regions and on a level set implementation of the corresponding active curve evolution algorithms. Each method is developed from an objective functional which embeds constraints on both the image domain partition of the segmentation and the image data within or in-between the partition regions. The necessary conditions to optimize the objective functional are then derived and solved numerically. The book covers, within the active curve and level set formalism, the basic two-region segmentation methods, multiregion extensions, region merging, image modeling, and motion based segmentation. To treat various important classes of images, modeling investigates several parametric distributions such as the Gaussian, Gamma, Weibull, and Wishart. It also investigates non-parametric models. In motion segmentation, both optical flow and the movement of real three-dimensional objects are studied.