Author: Aapo Hyvärinen
Publisher: Springer Science & Business Media
ISBN: 1848824912
Category : Medical
Languages : en
Pages : 450
Book Description
Aims and Scope This book is both an introductory textbook and a research monograph on modeling the statistical structure of natural images. In very simple terms, “natural images” are photographs of the typical environment where we live. In this book, their statistical structure is described using a number of statistical models whose parameters are estimated from image samples. Our main motivation for exploring natural image statistics is computational m- eling of biological visual systems. A theoretical framework which is gaining more and more support considers the properties of the visual system to be re?ections of the statistical structure of natural images because of evolutionary adaptation processes. Another motivation for natural image statistics research is in computer science and engineering, where it helps in development of better image processing and computer vision methods. While research on natural image statistics has been growing rapidly since the mid-1990s, no attempt has been made to cover the ?eld in a single book, providing a uni?ed view of the different models and approaches. This book attempts to do just that. Furthermore, our aim is to provide an accessible introduction to the ?eld for students in related disciplines.
Natural Image Statistics
Author: Aapo Hyvärinen
Publisher: Springer Science & Business Media
ISBN: 1848824912
Category : Medical
Languages : en
Pages : 450
Book Description
Aims and Scope This book is both an introductory textbook and a research monograph on modeling the statistical structure of natural images. In very simple terms, “natural images” are photographs of the typical environment where we live. In this book, their statistical structure is described using a number of statistical models whose parameters are estimated from image samples. Our main motivation for exploring natural image statistics is computational m- eling of biological visual systems. A theoretical framework which is gaining more and more support considers the properties of the visual system to be re?ections of the statistical structure of natural images because of evolutionary adaptation processes. Another motivation for natural image statistics research is in computer science and engineering, where it helps in development of better image processing and computer vision methods. While research on natural image statistics has been growing rapidly since the mid-1990s, no attempt has been made to cover the ?eld in a single book, providing a uni?ed view of the different models and approaches. This book attempts to do just that. Furthermore, our aim is to provide an accessible introduction to the ?eld for students in related disciplines.
Publisher: Springer Science & Business Media
ISBN: 1848824912
Category : Medical
Languages : en
Pages : 450
Book Description
Aims and Scope This book is both an introductory textbook and a research monograph on modeling the statistical structure of natural images. In very simple terms, “natural images” are photographs of the typical environment where we live. In this book, their statistical structure is described using a number of statistical models whose parameters are estimated from image samples. Our main motivation for exploring natural image statistics is computational m- eling of biological visual systems. A theoretical framework which is gaining more and more support considers the properties of the visual system to be re?ections of the statistical structure of natural images because of evolutionary adaptation processes. Another motivation for natural image statistics research is in computer science and engineering, where it helps in development of better image processing and computer vision methods. While research on natural image statistics has been growing rapidly since the mid-1990s, no attempt has been made to cover the ?eld in a single book, providing a uni?ed view of the different models and approaches. This book attempts to do just that. Furthermore, our aim is to provide an accessible introduction to the ?eld for students in related disciplines.
Local Features in Natural Images via Singularity Theory
Author: James Damon
Publisher: Springer
ISBN: 3319414712
Category : Mathematics
Languages : en
Pages : 255
Book Description
This monograph considers a basic problem in the computer analysis of natural images, which are images of scenes involving multiple objects that are obtained by a camera lens or a viewer’s eye. The goal is to detect geometric features of objects in the image and to separate regions of the objects with distinct visual properties. When the scene is illuminated by a single principal light source, we further include the visual clues resulting from the interaction of the geometric features of objects, the shade/shadow regions on the objects, and the “apparent contours”. We do so by a mathematical analysis using a repertoire of methods in singularity theory. This is applied for generic light directions of both the “stable configurations” for these interactions, whose features remain unchanged under small viewer movement, and the generic changes which occur under changes of view directions. These may then be used to differentiate between objects and determine their shapes and positions.
Publisher: Springer
ISBN: 3319414712
Category : Mathematics
Languages : en
Pages : 255
Book Description
This monograph considers a basic problem in the computer analysis of natural images, which are images of scenes involving multiple objects that are obtained by a camera lens or a viewer’s eye. The goal is to detect geometric features of objects in the image and to separate regions of the objects with distinct visual properties. When the scene is illuminated by a single principal light source, we further include the visual clues resulting from the interaction of the geometric features of objects, the shade/shadow regions on the objects, and the “apparent contours”. We do so by a mathematical analysis using a repertoire of methods in singularity theory. This is applied for generic light directions of both the “stable configurations” for these interactions, whose features remain unchanged under small viewer movement, and the generic changes which occur under changes of view directions. These may then be used to differentiate between objects and determine their shapes and positions.
Farming in Nature's Image
Author: Judy Soule
Publisher: Island Press
ISBN: 9780933280885
Category : Business & Economics
Languages : en
Pages : 0
Book Description
̃Farming in Nature's Image provides, for the first time, a detailed look into the pioneering work of The Land Institute, the leading educational and research organization for sustainable agriculture. The authors draw on case studies, hands-on experience, and research results to explain the applications of a new system of agriculture based on one unifying concept: that farms should mimic the ecosystems in which they exist. They present both theoretical and practical information, including: a review of the environmental degradation resulting from current farming practices a critical evaluation of the attempts to solve these problems a detailed description of the ecosystem perspective and the proposed new agricultural system a case study illustrating how this new system could be applied to temperate grain production using perennial seed crops and the prairie as a model an examination of the potential savings in energy and water use, as well as potential contributions to ecological experiments and yield analysis work from The Land Institute. Written in clear, non-technical language, this book will be of great interest to soil and agricultural scientists, academics, policymakers, environmentalists, and other concerned with finding long-range solutions to agricultural problems.
Publisher: Island Press
ISBN: 9780933280885
Category : Business & Economics
Languages : en
Pages : 0
Book Description
̃Farming in Nature's Image provides, for the first time, a detailed look into the pioneering work of The Land Institute, the leading educational and research organization for sustainable agriculture. The authors draw on case studies, hands-on experience, and research results to explain the applications of a new system of agriculture based on one unifying concept: that farms should mimic the ecosystems in which they exist. They present both theoretical and practical information, including: a review of the environmental degradation resulting from current farming practices a critical evaluation of the attempts to solve these problems a detailed description of the ecosystem perspective and the proposed new agricultural system a case study illustrating how this new system could be applied to temperate grain production using perennial seed crops and the prairie as a model an examination of the potential savings in energy and water use, as well as potential contributions to ecological experiments and yield analysis work from The Land Institute. Written in clear, non-technical language, this book will be of great interest to soil and agricultural scientists, academics, policymakers, environmentalists, and other concerned with finding long-range solutions to agricultural problems.
The Distortion of Nature's Image
Author: Damian Gerber
Publisher: SUNY Press
ISBN: 1438473559
Category : Philosophy
Languages : en
Pages : 246
Book Description
Illustrates how the notion of an ecological society remains a decisively political question. The global ecological crisis is upon us. From global warming to the long-term implications of ocean acidification, air and water pollution, deforestation, and the omnipresent dangers of nuclear technology the future of our planetary home is threatened. Yet in the midst of the unfolding crisis, the conventional ideologies of the twentieth century and their representations of nature remain unchallenged by both the defenders of capitalism and capitalism’s most radical critics. The Distortion of Nature’s Image illustrates how the anti-naturalism of late capitalist society, in which nature is reified into the emptiness of mere matter, simply a thing to be dominated, is subtly complemented by the failure of the Left to go both beyond the historic limitations of Marx’s nineteenth-century viewpoint and beyond anarchism’s blind faith in “natural law.” However, an alternative for comprehending nature and the ecological crisis as historical and socialphenomena remains open in the dialectical naturalism of Western Marxism and Murray Bookchin’s social ecology. By examining in closer detail how Bookchin’s social ecology politicizes the concept of nature, as well as how precursory models in Western Marxist thought provide a foundation for this, Damian Gerber illustrates how the notion of an ecological society remains a decisively political question. “There are very few studies that bring anarchism into conversation with an ecological focus. Gerber’s book does this in extraordinary form, offering a critical but balanced overview.” — Simon Springer, author of The Anarchist Roots of Geography: Toward Spatial Emancipation
Publisher: SUNY Press
ISBN: 1438473559
Category : Philosophy
Languages : en
Pages : 246
Book Description
Illustrates how the notion of an ecological society remains a decisively political question. The global ecological crisis is upon us. From global warming to the long-term implications of ocean acidification, air and water pollution, deforestation, and the omnipresent dangers of nuclear technology the future of our planetary home is threatened. Yet in the midst of the unfolding crisis, the conventional ideologies of the twentieth century and their representations of nature remain unchallenged by both the defenders of capitalism and capitalism’s most radical critics. The Distortion of Nature’s Image illustrates how the anti-naturalism of late capitalist society, in which nature is reified into the emptiness of mere matter, simply a thing to be dominated, is subtly complemented by the failure of the Left to go both beyond the historic limitations of Marx’s nineteenth-century viewpoint and beyond anarchism’s blind faith in “natural law.” However, an alternative for comprehending nature and the ecological crisis as historical and socialphenomena remains open in the dialectical naturalism of Western Marxism and Murray Bookchin’s social ecology. By examining in closer detail how Bookchin’s social ecology politicizes the concept of nature, as well as how precursory models in Western Marxist thought provide a foundation for this, Damian Gerber illustrates how the notion of an ecological society remains a decisively political question. “There are very few studies that bring anarchism into conversation with an ecological focus. Gerber’s book does this in extraordinary form, offering a critical but balanced overview.” — Simon Springer, author of The Anarchist Roots of Geography: Toward Spatial Emancipation
Computer Vision - ECCV 2008
Author: David Forsyth
Publisher: Springer Science & Business Media
ISBN: 3540886893
Category : Computers
Languages : en
Pages : 841
Book Description
The four-volume set comprising LNCS volumes 5302/5303/5304/5305 constitutes the refereed proceedings of the 10th European Conference on Computer Vision, ECCV 2008, held in Marseille, France, in October 2008. The 243 revised papers presented were carefully reviewed and selected from a total of 871 papers submitted. The four books cover the entire range of current issues in computer vision. The papers are organized in topical sections on recognition, stereo, people and face recognition, object tracking, matching, learning and features, MRFs, segmentation, computational photography and active reconstruction.
Publisher: Springer Science & Business Media
ISBN: 3540886893
Category : Computers
Languages : en
Pages : 841
Book Description
The four-volume set comprising LNCS volumes 5302/5303/5304/5305 constitutes the refereed proceedings of the 10th European Conference on Computer Vision, ECCV 2008, held in Marseille, France, in October 2008. The 243 revised papers presented were carefully reviewed and selected from a total of 871 papers submitted. The four books cover the entire range of current issues in computer vision. The papers are organized in topical sections on recognition, stereo, people and face recognition, object tracking, matching, learning and features, MRFs, segmentation, computational photography and active reconstruction.
Optical and Digital Image Processing
Author: Gabriel Cristobal
Publisher: John Wiley & Sons
ISBN: 3527635254
Category : Technology & Engineering
Languages : en
Pages : 949
Book Description
In recent years, Moore's law has fostered the steady growth of the field of digital image processing, though the computational complexity remains a problem for most of the digital image processing applications. In parallel, the research domain of optical image processing has matured, potentially bypassing the problems digital approaches were suffering and bringing new applications. The advancement of technology calls for applications and knowledge at the intersection of both areas but there is a clear knowledge gap between the digital signal processing and the optical processing communities. This book covers the fundamental basis of the optical and image processing techniques by integrating contributions from both optical and digital research communities to solve current application bottlenecks, and give rise to new applications and solutions. Besides focusing on joint research, it also aims at disseminating the knowledge existing in both domains. Applications covered include image restoration, medical imaging, surveillance, holography, etc... "a very good book that deserves to be on the bookshelf of a serious student or scientist working in these areas." Source: Optics and Photonics News
Publisher: John Wiley & Sons
ISBN: 3527635254
Category : Technology & Engineering
Languages : en
Pages : 949
Book Description
In recent years, Moore's law has fostered the steady growth of the field of digital image processing, though the computational complexity remains a problem for most of the digital image processing applications. In parallel, the research domain of optical image processing has matured, potentially bypassing the problems digital approaches were suffering and bringing new applications. The advancement of technology calls for applications and knowledge at the intersection of both areas but there is a clear knowledge gap between the digital signal processing and the optical processing communities. This book covers the fundamental basis of the optical and image processing techniques by integrating contributions from both optical and digital research communities to solve current application bottlenecks, and give rise to new applications and solutions. Besides focusing on joint research, it also aims at disseminating the knowledge existing in both domains. Applications covered include image restoration, medical imaging, surveillance, holography, etc... "a very good book that deserves to be on the bookshelf of a serious student or scientist working in these areas." Source: Optics and Photonics News
Image Understanding using Sparse Representations
Author: Jayaraman J. Thiagarajan
Publisher: Springer Nature
ISBN: 3031022505
Category : Technology & Engineering
Languages : en
Pages : 115
Book Description
Image understanding has been playing an increasingly crucial role in several inverse problems and computer vision. Sparse models form an important component in image understanding, since they emulate the activity of neural receptors in the primary visual cortex of the human brain. Sparse methods have been utilized in several learning problems because of their ability to provide parsimonious, interpretable, and efficient models. Exploiting the sparsity of natural signals has led to advances in several application areas including image compression, denoising, inpainting, compressed sensing, blind source separation, super-resolution, and classification. The primary goal of this book is to present the theory and algorithmic considerations in using sparse models for image understanding and computer vision applications. To this end, algorithms for obtaining sparse representations and their performance guarantees are discussed in the initial chapters. Furthermore, approaches for designing overcomplete, data-adapted dictionaries to model natural images are described. The development of theory behind dictionary learning involves exploring its connection to unsupervised clustering and analyzing its generalization characteristics using principles from statistical learning theory. An exciting application area that has benefited extensively from the theory of sparse representations is compressed sensing of image and video data. Theory and algorithms pertinent to measurement design, recovery, and model-based compressed sensing are presented. The paradigm of sparse models, when suitably integrated with powerful machine learning frameworks, can lead to advances in computer vision applications such as object recognition, clustering, segmentation, and activity recognition. Frameworks that enhance the performance of sparse models in such applications by imposing constraints based on the prior discriminatory information and the underlying geometrical structure, and kernelizing the sparse coding and dictionary learning methods are presented. In addition to presenting theoretical fundamentals in sparse learning, this book provides a platform for interested readers to explore the vastly growing application domains of sparse representations.
Publisher: Springer Nature
ISBN: 3031022505
Category : Technology & Engineering
Languages : en
Pages : 115
Book Description
Image understanding has been playing an increasingly crucial role in several inverse problems and computer vision. Sparse models form an important component in image understanding, since they emulate the activity of neural receptors in the primary visual cortex of the human brain. Sparse methods have been utilized in several learning problems because of their ability to provide parsimonious, interpretable, and efficient models. Exploiting the sparsity of natural signals has led to advances in several application areas including image compression, denoising, inpainting, compressed sensing, blind source separation, super-resolution, and classification. The primary goal of this book is to present the theory and algorithmic considerations in using sparse models for image understanding and computer vision applications. To this end, algorithms for obtaining sparse representations and their performance guarantees are discussed in the initial chapters. Furthermore, approaches for designing overcomplete, data-adapted dictionaries to model natural images are described. The development of theory behind dictionary learning involves exploring its connection to unsupervised clustering and analyzing its generalization characteristics using principles from statistical learning theory. An exciting application area that has benefited extensively from the theory of sparse representations is compressed sensing of image and video data. Theory and algorithms pertinent to measurement design, recovery, and model-based compressed sensing are presented. The paradigm of sparse models, when suitably integrated with powerful machine learning frameworks, can lead to advances in computer vision applications such as object recognition, clustering, segmentation, and activity recognition. Frameworks that enhance the performance of sparse models in such applications by imposing constraints based on the prior discriminatory information and the underlying geometrical structure, and kernelizing the sparse coding and dictionary learning methods are presented. In addition to presenting theoretical fundamentals in sparse learning, this book provides a platform for interested readers to explore the vastly growing application domains of sparse representations.
Sustainable Agriculture
Author: Mark E. Graham
Publisher: Wipf and Stock Publishers
ISBN: 1606088068
Category : Religion
Languages : en
Pages : 257
Book Description
This book . . . is an invitation to all Christians to begin constructing a food ethics; to the academic Christian ethicist, it presents an opportunity to join a discussion on a topic relevant in so many ways to the life of every American; to the Christian for whom the spark of the divine is detectable in the everyday life, it is a chance to begin making ethical sense out of something done every day for the entirety of one's natural life-participating in agriculture. -from the Introduction In Sustainable Agriculture, Mark Graham joins the vibrant, substantive discussion about the moral issues in American agriculture by revealing what is going on in current agricultural practices and analyzing them in light of morality and sustainability. Graham's constructive proposal for change is based on a moral vision that identifies a group of core values around which our agricultural system should be developed, including: a) a consistent, safe food supply; b) vital, sustainable communities; and c) personal and environmental health.
Publisher: Wipf and Stock Publishers
ISBN: 1606088068
Category : Religion
Languages : en
Pages : 257
Book Description
This book . . . is an invitation to all Christians to begin constructing a food ethics; to the academic Christian ethicist, it presents an opportunity to join a discussion on a topic relevant in so many ways to the life of every American; to the Christian for whom the spark of the divine is detectable in the everyday life, it is a chance to begin making ethical sense out of something done every day for the entirety of one's natural life-participating in agriculture. -from the Introduction In Sustainable Agriculture, Mark Graham joins the vibrant, substantive discussion about the moral issues in American agriculture by revealing what is going on in current agricultural practices and analyzing them in light of morality and sustainability. Graham's constructive proposal for change is based on a moral vision that identifies a group of core values around which our agricultural system should be developed, including: a) a consistent, safe food supply; b) vital, sustainable communities; and c) personal and environmental health.
Image Analysis
Author: Bjarne K. Ersboll
Publisher: Springer
ISBN: 3540730400
Category : Computers
Languages : en
Pages : 1001
Book Description
This book constitutes the refereed proceedings of the 15th Scandinavian Conference on Image Analysis, SCIA 2007, held in Aalborg, Denmark in June 2007. It covers computer vision, 2D and 3D reconstruction, classification and segmentation, medical and biological applications, appearance and shape modeling, face detection, tracking and recognition, motion analysis, feature extraction and object recognition.
Publisher: Springer
ISBN: 3540730400
Category : Computers
Languages : en
Pages : 1001
Book Description
This book constitutes the refereed proceedings of the 15th Scandinavian Conference on Image Analysis, SCIA 2007, held in Aalborg, Denmark in June 2007. It covers computer vision, 2D and 3D reconstruction, classification and segmentation, medical and biological applications, appearance and shape modeling, face detection, tracking and recognition, motion analysis, feature extraction and object recognition.
Computer Vision - ECCV 2002
Author: Anders Heyden
Publisher: Springer
ISBN: 3540479694
Category : Computers
Languages : en
Pages : 837
Book Description
Premiering in 1990 in Antibes, France, the European Conference on Computer Vision, ECCV, has been held biennially at venues all around Europe. These conferences have been very successful, making ECCV a major event to the computer vision community. ECCV 2002 was the seventh in the series. The privilege of organizing it was shared by three universities: The IT University of Copenhagen, the University of Copenhagen, and Lund University, with the conference venue in Copenhagen. These universities lie ̈ geographically close in the vivid Oresund region, which lies partly in Denmark and partly in Sweden, with the newly built bridge (opened summer 2000) crossing the sound that formerly divided the countries. We are very happy to report that this year’s conference attracted more papers than ever before, with around 600 submissions. Still, together with the conference board, we decided to keep the tradition of holding ECCV as a single track conference. Each paper was anonymously refereed by three different reviewers. For the ?nal selection, for the ?rst time for ECCV, a system with area chairs was used. These met with the program chairsinLundfortwodaysinFebruary2002toselectwhatbecame45oralpresentations and 181 posters.Also at this meeting the selection was made without knowledge of the authors’identity.
Publisher: Springer
ISBN: 3540479694
Category : Computers
Languages : en
Pages : 837
Book Description
Premiering in 1990 in Antibes, France, the European Conference on Computer Vision, ECCV, has been held biennially at venues all around Europe. These conferences have been very successful, making ECCV a major event to the computer vision community. ECCV 2002 was the seventh in the series. The privilege of organizing it was shared by three universities: The IT University of Copenhagen, the University of Copenhagen, and Lund University, with the conference venue in Copenhagen. These universities lie ̈ geographically close in the vivid Oresund region, which lies partly in Denmark and partly in Sweden, with the newly built bridge (opened summer 2000) crossing the sound that formerly divided the countries. We are very happy to report that this year’s conference attracted more papers than ever before, with around 600 submissions. Still, together with the conference board, we decided to keep the tradition of holding ECCV as a single track conference. Each paper was anonymously refereed by three different reviewers. For the ?nal selection, for the ?rst time for ECCV, a system with area chairs was used. These met with the program chairsinLundfortwodaysinFebruary2002toselectwhatbecame45oralpresentations and 181 posters.Also at this meeting the selection was made without knowledge of the authors’identity.