Biological and Computer Vision PDF Download
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Author: Gabriel Kreiman
Publisher: Cambridge University Press
ISBN: 1108483437
Category : Computers
Languages : en
Pages : 275
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Book Description
This book introduces neural mechanisms of biological vision and how artificial intelligence algorithms learn to interpret images.
Author: Gabriel Kreiman
Publisher: Cambridge University Press
ISBN: 1108483437
Category : Computers
Languages : en
Pages : 275
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Book Description
This book introduces neural mechanisms of biological vision and how artificial intelligence algorithms learn to interpret images.
Author: John P. Frisby
Publisher: MIT Press
ISBN: 0262514273
Category : Psychology
Languages : en
Pages : 577
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Book Description
An accessible yet rigorous and generously illustrated exploration of the computational approach to the study of biological vision. Seeing has puzzled scientists and philosophers for centuries and it continues to do so. This new edition of a classic text offers an accessible but rigorous introduction to the computational approach to understanding biological visual systems. The authors of Seeing, taking as their premise David Marr's statement that “to understand vision by studying only neurons is like trying to understand bird flight by studying only feathers,” make use of Marr's three different levels of analysis in the study of vision: the computational level, the algorithmic level, and the hardware implementation level. Each chapter applies this approach to a different topic in vision by examining the problems the visual system encounters in interpreting retinal images and the constraints available to solve these problems; the algorithms that can realize the solution; and the implementation of these algorithms in neurons. Seeing has been thoroughly updated for this edition and expanded to more than three times its original length. It is designed to lead the reader through the problems of vision, from the common (but mistaken) idea that seeing consists just of making pictures in the brain to the minutiae of how neurons collectively encode the visual features that underpin seeing. Although it assumes no prior knowledge of the field, some chapters present advanced material. This makes it the only textbook suitable for both undergraduate and graduate students that takes a consistently computational perspective, offering a firm conceptual basis for tackling the vast literature on vision. It covers a wide range of topics, including aftereffects, the retina, receptive fields, object recognition, brain maps, Bayesian perception, motion, color, and stereopsis. MatLab code is available on the book's website, which includes a simple demonstration of image convolution.
Author: John P. Frisby
Publisher: Oxford University Press, USA
ISBN:
Category : Medical
Languages : en
Pages : 170
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Book Description
Author: Erich Jantsch
Publisher: Routledge
ISBN: 1000301265
Category : Social Science
Languages : en
Pages : 244
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Book Description
"The evolutionary vision" is a term coined by economist Kenneth E. Boulding to describe a unified view of evolution that encompasses all levels of reality, from the cosmic or physical through the biological, ecological, and sociobiological to the sociocultural. It focuses less on systems or any particular entity than on the processes through which they evolve. In this volume various approaches to the self-organization of matter and information are outlined by authors who are among the chief developers of this new paradigm. They focus on the general laws governing evolutionary dynamics across all levels of evolution, including the evolution of humans and human systems.
Author: Gabriel Cristobal
Publisher: John Wiley & Sons
ISBN: 3527680470
Category : Technology & Engineering
Languages : en
Pages : 482
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Book Description
As the state-of-the-art imaging technologies became more and more advanced, yielding scientific data at unprecedented detail and volume, the need to process and interpret all the data has made image processing and computer vision increasingly important. Sources of data that have to be routinely dealt with today's applications include video transmission, wireless communication, automatic fingerprint processing, massive databanks, non-weary and accurate automatic airport screening, robust night vision, just to name a few. Multidisciplinary inputs from other disciplines such as physics, computational neuroscience, cognitive science, mathematics, and biology will have a fundamental impact in the progress of imaging and vision sciences. One of the advantages of the study of biological organisms is to devise very different type of computational paradigms by implementing a neural network with a high degree of local connectivity. This is a comprehensive and rigorous reference in the area of biologically motivated vision sensors. The study of biologically visual systems can be considered as a two way avenue. On the one hand, biological organisms can provide a source of inspiration for new computational efficient and robust vision models and on the other hand machine vision approaches can provide new insights for understanding biological visual systems. Along the different chapters, this book covers a wide range of topics from fundamental to more specialized topics, including visual analysis based on a computational level, hardware implementation, and the design of new more advanced vision sensors. The last two sections of the book provide an overview of a few representative applications and current state of the art of the research in this area. This makes it a valuable book for graduate, Master, PhD students and also researchers in the field.
Author: Fouad Sabry
Publisher: One Billion Knowledgeable
ISBN:
Category : Computers
Languages : en
Pages : 153
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Book Description
What is Machine Vision The technology and methods that are used to provide imaging-based automatic inspection and analysis for applications such as automatic inspection, process control, and robot guiding, typically in industry, are referred to as machine vision. The term "machine vision" encompasses a wide range of technologies, including software and hardware items, integrated systems, activities, procedures, and skilled professionals. Unlike computer vision, which is a subfield of computer science, machine vision is a field of systems engineering that might be considered to be different from computer vision. It seeks to combine existing technologies in novel ways and apply them to the solution of problems that are encountered in the real world. This word is the one that is most commonly used for these functions in situations that involve industrial automation; nevertheless, it is also used for these functions in other environments, such as vehicle guiding. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Machine vision Chapter 2: Computer vision Chapter 3: Thermography Chapter 4: Smart camera Chapter 5: 3D scanning Chapter 6: Mobile mapping Chapter 7: Visual servoing Chapter 8: Visual odometry Chapter 9: Vision-guided robot systems Chapter 10: Optical sorting (II) Answering the public top questions about machine vision. (III) Real world examples for the usage of machine vision in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Machine Vision.
Author: Li Zhaoping
Publisher: Oxford University Press, USA
ISBN: 0199564663
Category : Medical
Languages : en
Pages : 397
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Book Description
Vision science has grown hugely in the past decades, but there have been few books showing readers how to adopt a computional approach to understanding visual perception, along with the underlying mechanisms in the brain. This book explains the computational principles and models of biological visual processing, and in particular, primate vision.
Author: Pomplun, Marc
Publisher: IGI Global
ISBN: 1466625406
Category : Computers
Languages : en
Pages : 447
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Book Description
"This book provides interdisciplinary research that evaluates the performance of machine visual models and systems in comparison to biological systems, blending the ideas of current scientific knowledge and biological vision"--
Author: Fouad Sabry
Publisher: One Billion Knowledgeable
ISBN:
Category : Computers
Languages : en
Pages : 118
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Book Description
What Is Computer Vision Tasks associated with computer vision include methods for acquiring, processing, analyzing, and comprehending digital images, as well as the extraction of high-dimensional data from the physical environment in order to produce numerical or symbolic information, such as judgments. In the context of this discussion, understanding refers to the process of converting mental representations into descriptions of the external world that are coherent to one's cognitive processes and are able to evoke the right response. This picture comprehension can be understood as the untangling of symbolic information from visual data through the utilization of models that were developed with the assistance of geometry, physics, statistical analysis, and learning theory. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Computer vision Chapter 2: Machine vision Chapter 3: Image analysis Chapter 4: Image segmentation Chapter 5: Optical flow Chapter 6: Motion detection Chapter 7: Gesture recognition Chapter 8: Pose (computer vision) Chapter 9: Outline of computer vision Chapter 10: Stereo cameras (II) Answering the public top questions about computer vision. (III) Real world examples for the usage of computer vision in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of computer vision' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of computer vision.
Author: Stefan Florczyk
Publisher: John Wiley & Sons
ISBN: 352760491X
Category : Technology & Engineering
Languages : en
Pages : 216
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Book Description
The book is intended for advanced students in physics, mathematics, computer science, electrical engineering, robotics, engine engineering and for specialists in computer vision and robotics on the techniques for the development of vision-based robot projects. It focusses on autonomous and mobile service robots for indoor work, and teaches the techniques for the development of vision-based robot projects. A basic knowledge of informatics is assumed, but the basic introduction helps to adjust the knowledge of the reader accordingly. A practical treatment of the material enables a comprehensive understanding of how to handle specific problems, such as inhomogeneous illumination or occlusion. With this book, the reader should be able to develop object-oriented programs and show mathematical basic understanding. Such topics as image processing, navigation, camera types and camera calibration structure the described steps of developing further applications of vision-based robot projects.
