Toward A Computational Neuropsychology Of High Level Vision PDF Download
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| Author | : S. M. Kosslyn |
| Publisher | : |
| Total Pages | : 46 |
| Release | : 1984 |
| Genre | : |
| ISBN | : |
Download Toward a Computational Neuropsychology of High-Level Vision Book in PDF, ePub and Kindle
Visual information processing in humans has recently been studied from three distinct perspectives. This paper develops a way of melding the approaches of Artificial Intelligence, Cognitive Psychology, and Neuropsychology, and explores the advantages of such a hybrid approach. Each of the individual approaches has its strengths and weaknesses, but these are different for the different approaches. It is argued in this paper that by combining the three, we are in a position to take advantage of each one's strengths and may be able to circumvent each one's weaknesses. Additional keyword topics include: mental imagery and computer models.
| Author | : Martha J. Farah |
| Publisher | : Psychology Press |
| Total Pages | : 386 |
| Release | : 2013-04-15 |
| Genre | : Psychology |
| ISBN | : 1135806527 |
Download The Neuropsychology of High-level Vision Book in PDF, ePub and Kindle
This book provides a state-of-the-art review of high-level vision and the brain. Topics covered include object representation and recognition, category-specific visual knowledge, perceptual processes in reading, top-down processes in vision -- including attention and mental imagery -- and the relations between vision and conscious awareness. Each chapter includes a tutorial overview emphasizing the current state of knowledge and outstanding theoretical issues in the authors' area of research, along with a more in-depth report of an illustrative research project in the same area. The editors and contributors to this volume are among the most respected figures in the field of neuropsychology and perception, making the work presented here a standard-setting text and reference in that area.
| Author | : Qi Zhao |
| Publisher | : Springer |
| Total Pages | : 316 |
| Release | : 2016-10-03 |
| Genre | : Technology & Engineering |
| ISBN | : 9811002134 |
Download Computational and Cognitive Neuroscience of Vision Book in PDF, ePub and Kindle
Despite a plethora of scientific literature devoted to vision research and the trend toward integrative research, the borders between disciplines remain a practical difficulty. To address this problem, this book provides a systematic and comprehensive overview of vision from various perspectives, ranging from neuroscience to cognition, and from computational principles to engineering developments. It is written by leading international researchers in the field, with an emphasis on linking multiple disciplines and the impact such synergy can lead to in terms of both scientific breakthroughs and technology innovations. It is aimed at active researchers and interested scientists and engineers in related fields.
| Author | : Shimon Ullman |
| Publisher | : MIT Press |
| Total Pages | : 438 |
| Release | : 2000 |
| Genre | : Computers |
| ISBN | : 9780262710077 |
Download High-level Vision Book in PDF, ePub and Kindle
Shimon Ullman focuses on the processes of high-level vision that deal with the interpretation and use of what is seen in the image. In this book, Shimon Ullman focuses on the processes of high-level vision that deal with the interpretation and use of what is seen in the image. In particular, he examines two major problems. The first, object recognition and classification, involves recognizing objects despite large variations in appearance caused by changes in viewing position, illumination, occlusion, and object shape. The second, visual cognition, involves the extraction of shape properties and spatial relations in the course of performing visual tasks such as object manipulation, planning movements in the environment, or interpreting graphical material such as diagrams, graphs and maps. The book first takes up object recognition and develops a novel approach to the recognition of three-dimensional objects. It then studies a number of related issues in high-level vision, including object classification, scene segmentation, and visual cognition. Using computational considerations discussed throughout the book, along with psychophysical and biological data, the final chapter proposes a model for the general flow of information in the visual cortex. Understanding vision is a key problem in the brain sciences, human cognition, and artificial intelligence. Because of the interdisciplinary nature of the theories developed in this work, High-Level Vision will be of interest to readers in all three of these fields.
| Author | : Glyn W. Humphreys |
| Publisher | : Psychology Press |
| Total Pages | : 360 |
| Release | : 2021-12-24 |
| Genre | : Psychology |
| ISBN | : 1317716620 |
Download Visual Cognition Book in PDF, ePub and Kindle
Vision allows us to do many things. It enables us to perceive a world composed of meaningful objects and events. It enables us to track those events as they take place in front of our eyes. It enables us to read. It provides accurate spatial information for actions such as reaching for or avoiding objects. It provides colour and texture that can help us to separate objects from their background, and so forth. This book is concerned with understanding the processes that allow us to carry out these various visually driven behaviours. In the past ten years our understanding of visual processing has undergone a rapid change, primarily fostered by the convergence of computational, experimental and neuropsychological work on the topic. Visual Cognition provides the first major attempt to cover all aspects of this work within a single text. It provides a summary of research on visual information processing, relevant to advanced undergraduates, postgraduates and research workers. It covers: seeing static forms, object recognition, dynamic vision (motion perception and visual masking), visual attention, visual memory, visual aspects of reading. For each topic, the relevant computational, experimental and neuropsychological work is integrated to provide a broader coverage than that of other texts.
| Author | : Terry J. Knapp |
| Publisher | : Routledge |
| Total Pages | : 347 |
| Release | : 2016-07-15 |
| Genre | : Psychology |
| ISBN | : 1317248163 |
Download Approaches to Cognition Book in PDF, ePub and Kindle
To the vast majority of academic psychologists in the 1980s, the study of cognition referred to that area of psychology known as ‘cognitive psychology’. The major basis of this area had been the computer metaphor with its accompanying notion of the individual as an information-processing system. Yet within the field the study of cognition is much broader and has a history that reaches into antiquity, whereas ‘cognitive psychology’ as information-processing psychology had only recently become the standard bearer of cognitive studies. One of the purposes of this volume, originally published in 1986, was to articulate some of the fundamental distinctions between and concordances among different orientations concerning the study of cognition. The collection includes chapters on information processing, ecological, Gestalt, physiological, and operant psychology.
| Author | : |
| Publisher | : |
| Total Pages | : 984 |
| Release | : 1985 |
| Genre | : Aeronautics |
| ISBN | : |
Download Scientific and Technical Aerospace Reports Book in PDF, ePub and Kindle
| Author | : David Marr |
| Publisher | : MIT Press |
| Total Pages | : 429 |
| Release | : 2010-07-09 |
| Genre | : Psychology |
| ISBN | : 0262288982 |
Download Vision Book in PDF, ePub and Kindle
Available again, an influential book that offers a framework for understanding visual perception and considers fundamental questions about the brain and its functions. David Marr's posthumously published Vision (1982) influenced a generation of brain and cognitive scientists, inspiring many to enter the field. In Vision, Marr describes a general framework for understanding visual perception and touches on broader questions about how the brain and its functions can be studied and understood. Researchers from a range of brain and cognitive sciences have long valued Marr's creativity, intellectual power, and ability to integrate insights and data from neuroscience, psychology, and computation. This MIT Press edition makes Marr's influential work available to a new generation of students and scientists. In Marr's framework, the process of vision constructs a set of representations, starting from a description of the input image and culminating with a description of three-dimensional objects in the surrounding environment. A central theme, and one that has had far-reaching influence in both neuroscience and cognitive science, is the notion of different levels of analysis—in Marr's framework, the computational level, the algorithmic level, and the hardware implementation level. Now, thirty years later, the main problems that occupied Marr remain fundamental open problems in the study of perception. Vision provides inspiration for the continuing efforts to integrate knowledge from cognition and computation to understand vision and the brain.
| Author | : John P. Frisby |
| Publisher | : MIT Press |
| Total Pages | : 577 |
| Release | : 2010-04-02 |
| Genre | : Psychology |
| ISBN | : 0262514273 |
Download Seeing, second edition Book in PDF, ePub and Kindle
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 | : Bogdan Ionescu |
| Publisher | : Springer Nature |
| Total Pages | : 297 |
| Release | : 2022-01-01 |
| Genre | : Computers |
| ISBN | : 3030814653 |
Download Human Perception of Visual Information Book in PDF, ePub and Kindle
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.
