Vision Images Signals And Neural Networks Models Of Neural Processing In Visual Perception

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Vision: Images, Signals And Neural Networks - Models Of Neural Processing In Visual Perception

Author : Jeanny Herault
Publisher : World Scientific Publishing Company
ISBN 13 : 9813107545
Total Pages : 308 pages
Book Rating : 4.8/5 (131 download)

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Book Synopsis Vision: Images, Signals And Neural Networks - Models Of Neural Processing In Visual Perception by : Jeanny Herault

Download or read book Vision: Images, Signals And Neural Networks - Models Of Neural Processing In Visual Perception written by Jeanny Herault and published by World Scientific Publishing Company. This book was released on 2010-03-04 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: At the fascinating frontiers of neurobiology, mathematics and psychophysics, this book addresses the problem of human and computer vision on the basis of cognitive modeling. After recalling the physics of light and its transformation through media and optics, Hérault presents the principles of the primate's visual system in terms of anatomy and functionality. Then, the neuronal circuitry of the retina is analyzed in terms of spatio-temporal filtering. This basic model is extended to the concept of neuromorphic circuits for motion processing and to the processing of color in the retina. For more in-depth studies, the adaptive non-linear properties of the photoreceptors and of ganglion cells are addressed, exhibiting all the power of the retinal pre-processing of images as a system of information cleaning suitable for further cortical processing. As a target of retinal information, the primary visual area is presented as a bank of filters able to extract valuable descriptors of images, suitable for categorization and recognition and also for local information extraction such as saliency and perspective. All along the book, many comparisons between the models and human perception are discussed as well as detailed applications to computer vision./a

Vision

Author : Jeanny Hrault
Publisher : World Scientific
ISBN 13 : 9814273694
Total Pages : 308 pages
Book Rating : 4.8/5 (142 download)

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Book Synopsis Vision by : Jeanny Hrault

Download or read book Vision written by Jeanny Hrault and published by World Scientific. This book was released on 2010 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: At the fascinating frontiers of neurobiology, mathematics and psychophysics, this book addresses the problem of human and computer vision on the basis of cognitive modeling. After recalling the physics of light and its transformation through media and optics, Hrault presents the principles of the primate's visual system in terms of anatomy and functionality. Then, the neuronal circuitry of the retina is analyzed in terms of spatio?temporal filtering. This basic model is extended to the concept of neuromorphic circuits for motion processing and to the processing of color in the retina. For more in-depth studies, the adaptive non-linear properties of the photoreceptors and of ganglion cells are addressed, exhibiting all the power of the retinal pre-processing of images as a system of information cleaning suitable for further cortical processing. As a target of retinal information, the primary visual area is presented as a bank of filters able to extract valuable descriptors of images, suitable for categorization and recognition and also for local information extraction such as saliency and perspective. All along the book, many comparisons between the models and human perception are discussed as well as detailed applications to computer vision.

Neural Networks for Vision and Image Processing

Author : Gail A. Carpenter
Publisher : Springer Science & Business
ISBN 13 : 9780262531085
Total Pages : 492 pages
Book Rating : 4.5/5 (31 download)

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Book Synopsis Neural Networks for Vision and Image Processing by : Gail A. Carpenter

Download or read book Neural Networks for Vision and Image Processing written by Gail A. Carpenter and published by Springer Science & Business. This book was released on 1992 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: This interdisciplinary survey brings together recent models and experiments on how the brain sees and learns to recognize objects. It shows how to use these insights in technology and describes how neural networks provide a unifying computational framework for reaching these goals. Several chapters describe experiments in neurobiology and visual perception that clarify properties of biological vision and key conceptual issues that biological models need to address. Other chapters describe neural and computational models of biological vision that address such issues and clarify processes whereby biological vision derives its remarkable flexibility and power. Still other chapters use biologically derived models or heuristics to suggest neural network solutions to challenging technological problems in computer vision. Topics range from analyses of motion, depth, color and form to new concepts about learning, attention, pattern recognition, and hardware implementation.

Advances in Reasoning-Based Image Processing Intelligent Systems

Author : Roumen Kountchev
Publisher : Springer Science & Business Media
ISBN 13 : 3642246931
Total Pages : 460 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Advances in Reasoning-Based Image Processing Intelligent Systems by : Roumen Kountchev

Download or read book Advances in Reasoning-Based Image Processing Intelligent Systems written by Roumen Kountchev and published by Springer Science & Business Media. This book was released on 2012-01-13 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book puts special stress on the contemporary techniques for reasoning-based image processing and analysis: learning based image representation and advanced video coding; intelligent image processing and analysis in medical vision systems; similarity learning models for image reconstruction; visual perception for mobile robot motion control, simulation of human brain activity in the analysis of video sequences; shape-based invariant features extraction; essential of paraconsistent neural networks, creativity and intelligent representation in computational systems. The book comprises 14 chapters. Each chapter is a small monograph, representing resent investigations of authors in the area. The topics of the chapters cover wide scientific and application areas and complement each-other very well. The chapters’ content is based on fundamental theoretical presentations, followed by experimental results and comparison with similar techniques. The size of the chapters is well-ballanced which permits a thorough presentation of the investigated problems. The authors are from universities and R&D institutions all over the world; some of the chapters are prepared by international teams. The book will be of use for university and PhD students, researchers and software developers working in the area of digital image and video processing and analysis.

Neural Networks for Perception

Author : Harry Wechsler
Publisher : Academic Press
ISBN 13 : 1483260259
Total Pages : 543 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Neural Networks for Perception by : Harry Wechsler

Download or read book Neural Networks for Perception written by Harry Wechsler and published by Academic Press. This book was released on 2014-05-10 with total page 543 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Networks for Perception, Volume 1: Human and Machine Perception focuses on models for understanding human perception in terms of distributed computation and examples of PDP models for machine perception. This book addresses both theoretical and practical issues related to the feasibility of both explaining human perception and implementing machine perception in terms of neural network models. The book is organized into two parts. The first part focuses on human perception. Topics on network model of object recognition in human vision, the self-organization of functional architecture in the cerebral cortex, and the structure and interpretation of neuronal codes in the visual system are detailed under this part. Part two covers the relevance of neural networks for machine perception. Subjects considered under this section include the multi-dimensional linear lattice for Fourier and Gabor transforms, multiple- scale Gaussian filtering, and edge detection; aspects of invariant pattern and object recognition; and neural network for motion processing. Neuroscientists, computer scientists, engineers, and researchers in artificial intelligence will find the book useful.

Hierarchical Neural Networks for Image Interpretation

Author : Sven Behnke
Publisher : Springer Science & Business Media
ISBN 13 : 3540407227
Total Pages : 230 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Hierarchical Neural Networks for Image Interpretation by : Sven Behnke

Download or read book Hierarchical Neural Networks for Image Interpretation written by Sven Behnke and published by Springer Science & Business Media. This book was released on 2003-08-21 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human performance in visual perception by far exceeds the performance of contemporary computer vision systems. While humans are able to perceive their environment almost instantly and reliably under a wide range of conditions, computer vision systems work well only under controlled conditions in limited domains. This book sets out to reproduce the robustness and speed of human perception by proposing a hierarchical neural network architecture for iterative image interpretation. The proposed architecture can be trained using unsupervised and supervised learning techniques. Applications of the proposed architecture are illustrated using small networks. Furthermore, several larger networks were trained to perform various nontrivial computer vision tasks.

Human Perception of Visual Information

Author : Bogdan Ionescu
Publisher : Springer Nature
ISBN 13 : 3030814653
Total Pages : 297 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Human Perception of Visual Information by : Bogdan Ionescu

Download or read book Human Perception of Visual Information written by Bogdan Ionescu and published by Springer Nature. This book was released on 2022-01-01 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent years have witnessed important advancements in our understanding of the psychological underpinnings of subjective properties of visual information, such as aesthetics, memorability, or induced emotions. Concurrently, computational models of objective visual properties such as semantic labelling and geometric relationships have made significant breakthroughs using the latest achievements in machine learning and large-scale data collection. There has also been limited but important work exploiting these breakthroughs to improve computational modelling of subjective visual properties. The time is ripe to explore how advances in both of these fields of study can be mutually enriching and lead to further progress. This book combines perspectives from psychology and machine learning to showcase a new, unified understanding of how images and videos influence high-level visual perception - particularly interestingness, affective values and emotions, aesthetic values, memorability, novelty, complexity, visual composition and stylistic attributes, and creativity. These human-based metrics are interesting for a very broad range of current applications, ranging from content retrieval and search, storytelling, to targeted advertising, education and learning, and content filtering. Work already exists in the literature that studies the psychological aspects of these notions or investigates potential correlations between two or more of these human concepts. Attempts at building computational models capable of predicting such notions can also be found, using state-of-the-art machine learning techniques. Nevertheless their performance proves that there is still room for improvement, as the tasks are by nature highly challenging and multifaceted, requiring thought on both the psychological implications of the human concepts, as well as their translation to machines.

Human and Machine Vision

Author : V. Cantoni
Publisher :
ISBN 13 :
Total Pages : 424 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Human and Machine Vision by : V. Cantoni

Download or read book Human and Machine Vision written by V. Cantoni and published by . This book was released on 1994-12-31 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: The phylogenetic evolution of the visual system. A control view to vision architectures. Panel summary - one model for vision systems? Structure and function in the retina. On-chip vision. Panel summary - foveation, log-polar mapping and multiscale approaches to early vision. Neurophysiology of the striate cortex. Visual form representation. Panel summary - looking for visual primitives. The oculomotor system. Active vision. Panel summary - allocation of attention in vision. New wine in old barrels: knowing how to move tells us how to perceive movement. Motion analysis. Pannel summary - dynamic perception of the environment. Visual cognition and cognitive modeling. Models and descriptions in machine vision. Panel summary - icons and words: metaphors and symbolisms. Visual thinking: stability and self-organisation. Spatial reasoning as a tool for scene generation and recognition. Panel summary - image interpretation and ambiguities. From imagery to imagination. Neural networks, fuzziness and image processing. Panel summary - perceptual learning and discovering. The state of the art in virtual reality.

Visual Perception

Author : Lothar Spillmann
Publisher : Elsevier
ISBN 13 : 0323138144
Total Pages : 550 pages
Book Rating : 4.3/5 (231 download)

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Book Synopsis Visual Perception by : Lothar Spillmann

Download or read book Visual Perception written by Lothar Spillmann and published by Elsevier. This book was released on 2012-12-02 with total page 550 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents an interdisciplinary overview of the main facts and theories that guide contemporary research on visual perception. While the chapters cover virtually all areas of visual science, from philosophical foundations to computational algorithms, and from photoreceptor processes to neuronal networks, no attempt has been made to provide an exhaustive treatment of these topics. Rather, researchers from such diverse disciplines as psychology, neurophysiology, anatomy, and clinical vision sciences have worked together to review some of the most important correlations between perceptual phenomena and the underlying neurophysiological processes and mechanisms. The book is thus intended to serve as an advanced text for graduate students and as a guide for all vision researchers to understanding current progress outside their specialized fields of interest. ï Examines parallel processing of visual informationï Discusses links between physiologically-measured receptive fields and psychophysically-measured perceptive fieldsï Presents a spatial sampling by the retina and cortical modulesï Covers signal transduction and the sites of adaptationï Describes a single-cell analysis of attentionï Discusses computational models of vision

Biologically Inspired Computer Vision

Author : Gabriel Cristobal
Publisher : John Wiley & Sons
ISBN 13 : 3527680470
Total Pages : 482 pages
Book Rating : 4.5/5 (276 download)

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Book Synopsis Biologically Inspired Computer Vision by : Gabriel Cristobal

Download or read book Biologically Inspired Computer Vision written by Gabriel Cristobal and published by John Wiley & Sons. This book was released on 2015-08-20 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Neural Networks and Machine Learning – ICANN 2018

Author : Věra Kůrková
Publisher : Springer
ISBN 13 : 3030014215
Total Pages : 637 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Artificial Neural Networks and Machine Learning – ICANN 2018 by : Věra Kůrková

Download or read book Artificial Neural Networks and Machine Learning – ICANN 2018 written by Věra Kůrková and published by Springer. This book was released on 2018-09-25 with total page 637 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set LNCS 11139-11141 constitutes the refereed proceedings of the 27th International Conference on Artificial Neural Networks, ICANN 2018, held in Rhodes, Greece, in October 2018. The 139 full and 28 short papers as well as 41 full poster papers and 41 short poster papers presented in these volumes was carefully reviewed and selected from total of 360 submissions. They are related to the following thematic topics: AI and Bioinformatics, Bayesian and Echo State Networks, Brain Inspired Computing, Chaotic Complex Models, Clustering, Mining, Exploratory Analysis, Coding Architectures, Complex Firing Patterns, Convolutional Neural Networks, Deep Learning (DL), DL in Real Time Systems, DL and Big Data Analytics, DL and Big Data, DL and Forensics, DL and Cybersecurity, DL and Social Networks, Evolving Systems – Optimization, Extreme Learning Machines, From Neurons to Neuromorphism, From Sensation to Perception, From Single Neurons to Networks, Fuzzy Modeling, Hierarchical ANN, Inference and Recognition, Information and Optimization, Interacting with The Brain, Machine Learning (ML), ML for Bio Medical systems, ML and Video-Image Processing, ML and Forensics, ML and Cybersecurity, ML and Social Media, ML in Engineering, Movement and Motion Detection, Multilayer Perceptrons and Kernel Networks, Natural Language, Object and Face Recognition, Recurrent Neural Networks and Reservoir Computing, Reinforcement Learning, Reservoir Computing, Self-Organizing Maps, Spiking Dynamics/Spiking ANN, Support Vector Machines, Swarm Intelligence and Decision-Making, Text Mining, Theoretical Neural Computation, Time Series and Forecasting, Training and Learning.

The Perception of Visual Information

Author : William Thomson
Publisher : Springer Science & Business Media
ISBN 13 : 1475767692
Total Pages : 352 pages
Book Rating : 4.4/5 (757 download)

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Book Synopsis The Perception of Visual Information by : William Thomson

Download or read book The Perception of Visual Information written by William Thomson and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Human knowledge is primarily the product of experiences acquired through interactions of our senses with our surroundings. Of all the senses, vision is the one relied on most heavily by most people for sensory input about the environment. Visual interactions can be divided into three processes: (1) de tection of visual information; (2) recognition of the "external source" of the information; and (3) interpretation of the significance of the information. These processes usually occur sequentially, although there is considerable interdependence among them. With our strong dependence on the processes of visual interactions, we might assume that they are well characterized and understood. Nothing could be further from the truth. Human vision remains an engima, in spite of specu lations by philosophers for centuries, and, more recently, of attention from physicists and cognitive and experimental psychologists. How we see, and how we know what we see, remains an unsolved mystery that challenges some of the most creative scientists and cognitive specialists.

Pattern Recognition by Humans and Machines

Author : Eileen C. Schwab
Publisher : Elsevier
ISBN 13 : 1483214265
Total Pages : 261 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Pattern Recognition by Humans and Machines by : Eileen C. Schwab

Download or read book Pattern Recognition by Humans and Machines written by Eileen C. Schwab and published by Elsevier. This book was released on 2016-06-03 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pattern Recognitions by Humans and Machines, Volume 2: Visual Perceptions covers aspects of research on visual perception. The book discusses visual form perception, figure-ground organization, and the spatial and temporal responses of the visual system; eye movements; and visual pattern perception. The text also describes a computer vision model based on psychophysical experiments; perspectives from brain theory and artificial intelligence; and the capacity to extract shape properties and spatial relations among objects and objects' parts. Knowledge-mediated perception is also considered. Psychologists and people involved in the study of visual perceptions will find the book useful.

Neural Information Processing

Author : Bao-Liang Lu
Publisher : Springer
ISBN 13 : 3642249655
Total Pages : 810 pages
Book Rating : 4.6/5 (422 download)

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Book Synopsis Neural Information Processing by : Bao-Liang Lu

Download or read book Neural Information Processing written by Bao-Liang Lu and published by Springer. This book was released on 2011-11-12 with total page 810 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three volume set LNCS 7062, LNCS 7063, and LNCS 7064 constitutes the proceedings of the 18th International Conference on Neural Information Processing, ICONIP 2011, held in Shanghai, China, in November 2011. The 262 regular session papers presented were carefully reviewed and selected from numerous submissions. The papers of part I are organized in topical sections on perception, emotion and development, bioinformatics, biologically inspired vision and recognition, bio-medical data analysis, brain signal processing, brain-computer interfaces, brain-like systems, brain-realistic models for learning, memory and embodied cognition, Clifford algebraic neural networks, combining multiple learners, computational advances in bioinformatics, and computational-intelligent human computer interaction. The second volume is structured in topical sections on cybersecurity and data mining workshop, data mining and knowledge doscovery, evolutionary design and optimisation, graphical models, human-originated data analysis and implementation, information retrieval, integrating multiple nature-inspired approaches, kernel methods and support vector machines, and learning and memory. The third volume contains all the contributions connected with multi-agent systems, natural language processing and intelligent Web information processing, neural encoding and decoding, neural network models, neuromorphic hardware and implementations, object recognition, visual perception modelling, and advances in computational intelligence methods based pattern recognition.

Selective Visual Attention

Author : Liming Zhang
Publisher : John Wiley & Sons
ISBN 13 : 1118060059
Total Pages : 344 pages
Book Rating : 4.1/5 (18 download)

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Book Synopsis Selective Visual Attention by : Liming Zhang

Download or read book Selective Visual Attention written by Liming Zhang and published by John Wiley & Sons. This book was released on 2013-03-15 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Visual attention is a relatively new area of study combining a number of disciplines: artificial neural networks, artificial intelligence, vision science and psychology. The aim is to build computational models similar to human vision in order to solve tough problems for many potential applications including object recognition, unmanned vehicle navigation, and image and video coding and processing. In this book, the authors provide an up to date and highly applied introduction to the topic of visual attention, aiding researchers in creating powerful computer vision systems. Areas covered include the significance of vision research, psychology and computer vision, existing computational visual attention models, and the authors' contributions on visual attention models, and applications in various image and video processing tasks. This book is geared for graduates students and researchers in neural networks, image processing, machine learning, computer vision, and other areas of biologically inspired model building and applications. The book can also be used by practicing engineers looking for techniques involving the application of image coding, video processing, machine vision and brain-like robots to real-world systems. Other students and researchers with interdisciplinary interests will also find this book appealing. Provides a key knowledge boost to developers of image processing applications Is unique in emphasizing the practical utility of attention mechanisms Includes a number of real-world examples that readers can implement in their own work: robot navigation and object selection image and video quality assessment image and video coding Provides codes for users to apply in practical attentional models and mechanisms

Brain-Inspired Intelligence and Visual Perception

Author : Wenfeng Wang
Publisher : Springer
ISBN 13 : 9811335494
Total Pages : 166 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Brain-Inspired Intelligence and Visual Perception by : Wenfeng Wang

Download or read book Brain-Inspired Intelligence and Visual Perception written by Wenfeng Wang and published by Springer. This book was released on 2019-02-14 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest findings in the field of brain-inspired intelligence and visual perception (BIVP), and discusses novel research assumptions, including an introduction to brain science and the brain vision hypotheses. Moreover, it introduces readers to the theory and algorithms of BIVP – such as pheromone accumulation and iteration, neural cognitive computing mechanisms, the integration and scheduling of core modules, and brain-inspired perception, motion and control – in a step-by-step manner. Accordingly, it will appeal to university researchers, R&D engineers, undergraduate and graduate students; to anyone interested in robots, brain cognition or computer vision; and to all those wishing to learn about the core theory, principles, methods, algorithms, and applications of BIVP.

Advances in Machine Vision

Author : Colin Archibald
Publisher : World Scientific
ISBN 13 : 9789810209766
Total Pages : 382 pages
Book Rating : 4.2/5 (97 download)

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Book Synopsis Advances in Machine Vision by : Colin Archibald

Download or read book Advances in Machine Vision written by Colin Archibald and published by World Scientific. This book was released on 1992 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes recent strategies and applications for extracting useful information from sensor data. For example, the methods presented by Roth and Levine are becoming widely accepted as the ?best? way to segment range images, and the neural network methods for Alpha-numeric character recognition, presented by K Yamada, are believed to be the best yet presented. An applied system to analyze the images of dental imprints presented by J Ct, et al. is one of several examples of image processing systems that have already been proven to be practical, and can serve as a model for the image processing system designer. Important aspects of the automation of processes are presented in a practical way which can provide immediate new capabilities in fields as diverse as biomedical image processing, document processing, industrial automation, understanding human perception, and the defence industries. The book is organized into sections describing Model Driven Feature Extraction, Data Driven Feature Extraction, Neural Networks, Model Building, and Applications.