Perceptual Organization For Artificial Vision Systems

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Author: Kim L. Boyer
Publisher: Springer Science & Business Media
ISBN: 1461544130
Size: 15.23 MB
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Perceptual Organization For Artificial Vision Systems by Kim L. Boyer

Original Title: Perceptual Organization For Artificial Vision Systems

Perceptual Organization for Artificial Vision Systems is an edited collection of invited contributions based on papers presented at The Workshop on Perceptual Organization in Computer Vision, held in Corfu, Greece, in September 1999. The theme of the workshop was `Assessing the State of the Community and Charting New Research Directions.' Perceptual organization can be defined as the ability to impose structural regularity on sensory data, so as to group sensory primitives arising from a common underlying cause. This book explores new models, theories, and algorithms for perceptual organization. Perceptual Organization for Artificial Vision Systems includes contributions by the world's leading researchers in the field. It explores new models, theories, and algorithms for perceptual organization, as well as demonstrates the means for bringing research results and theoretical principles to fruition in the construction of computer vision systems. The focus of this collection is on the design of artificial vision systems. The chapters comprise contributions from researchers in both computer vision and human vision.

Advances In Automation And Robotics Vol 1

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Author: Gary Lee
Publisher: Springer Science & Business Media
ISBN: 3642255531
Size: 41.31 MB
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Advances In Automation And Robotics Vol 1 by Gary Lee

Original Title: Advances In Automation And Robotics Vol 1

The international conference on Automation and Robotics-ICAR2011 is held during December 12-13, 2011 in Dubai, UAE. The proceedings of ICAR2011 have been published by Springer Lecture Notes in Electrical Engineering, which include 163 excellent papers selected from more than 400 submitted papers. The conference is intended to bring together the researchers and engineers/technologists working in different aspects of intelligent control systems and optimization, robotics and automation, signal processing, sensors, systems modeling and control, industrial engineering, production and management. This part of proceedings includes 81 papers contributed by many researchers in relevant topic areas covered at ICAR2011 from various countries such as France, Japan, USA, Korea and China etc. Many papers introduced their advanced research work recently; some of them gave a new solution to problems in the field, with powerful evidence and detail demonstration. Others stated the application of their designed and realized systems. The session topic of this proceeding is intelligent control and robotics and automation, which includes papers about Distributed Control Systems, Intelligent Fault Detection and Identification, Machine Learning in Control, Neural Networks based Control Systems, Fuzzy Control, Genetic Algorithms, Robot Design, Human-robots Interfaces, Network Robotics, and Autonomous Systems, Industrial Networks and Automation, Modeling, Simulation and Architectures, Vision, Recognition and Reconstruction, Virtual Reality, Image Processing, and so on. All of papers here involved the authors’ numerous time and energy, will be proved valuable in their research field. Sincere thanks to the committee and all the authors, moreover anonymous reviewers from many fields and organizations. That is a power for all of us to go on research work for the world.

Perceptual Organization And Visual Recognition

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Author: D. Lowe
Publisher: Springer Science & Business Media
ISBN: 146132551X
Size: 67.23 MB
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Perceptual Organization And Visual Recognition by D. Lowe

Original Title: Perceptual Organization And Visual Recognition

COMPUTER VISION is a field of research that encompasses many objectives. A primary goal has been to construct visual sensors that can provide general-purpose robots with the same information about their surroundings as we receive from our own visual senses. This book takes an important step towards this goal by describing a working computer vision system named SCERPO. This system can recognize known three-dimensional objects in ordinary black-and-white images taken from unknown viewpoints, even when parts of the object are undetectable or hidden from view. A second major goal of computer vision re search is to provide a computational understanding of human vision. The research presented in this book has many implica tions for our understanding of human vision, particularly in the areas of perceptual organization and knowledge-based recogni tion. An attempt has been made to relate each computational result to the relevant areas in the psychology of vision. Since the material is meant to be accessible to a wide range of inter disciplinary readers, the book is written in plain language and attempts to explain most concepts from the starting position of the non-specialist. vii viii PREFACE One of the most important conclusions ansmg from this research is that visual recognition can commonly be achieved directly from the two-dimensional image without any prelim inary reconstruction of depth information or surface orienta tion from the visual input.

Neural Information Processing

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Author: Bao-Liang Lu
Publisher: Springer Science & Business Media
ISBN: 3642249647
Size: 77.47 MB
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Neural Information Processing by Bao-Liang Lu

Original Title: Neural Information Processing

This 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, and visual perception modelling.

Interpreting Remote Sensing Imagery

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Author: Robert R. Hoffman
Publisher: CRC Press
ISBN: 9781420032819
Size: 46.66 MB
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Interpreting Remote Sensing Imagery by Robert R. Hoffman

Original Title: Interpreting Remote Sensing Imagery

No matter how advanced the technology, there is always the human factor involved - the power behind the technology. Interpreting Remote Sensing Imagery: Human Factors draws together leading psychologists, remote sensing scientists, and government and industry scientists to consider the factors involved in expertise and perceptual skill. This book covers the cognitive issues of learning, perception, and expertise, the applied issues of display design, interface design, software design, and mental workload issues, and the practitioner's issues of workstation design, human performance, and training. It tackles the intangibles of data interpretation, based on information from experts who do the job. You will learn: Information and perception What do experts perceive in remote sensing and cartographic displays? Reasoning and perception How do experts "see through" the data display to understand its meaning and significance? Human-computer interaction How do experts work with their displays and what happens when the "fiddle" with them? Learning and training What are the milestones in training development from novice to expert image interpreter? Interpreting Remote Sensing Imagery: Human Factors breaks down the mystery of what experts do when they interpret data, how they learn, and what individual factors speed or impede training. Even more importantly, it gives you the tools to train efficiently and understand how the human factor impacts data interpretation.

The Oxford Handbook Of Perceptual Organization

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Author: Johan Wagemans
Publisher: Oxford University Press, USA
ISBN: 0199686858
Size: 11.99 MB
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The Oxford Handbook Of Perceptual Organization by Johan Wagemans

Original Title: The Oxford Handbook Of Perceptual Organization

Perceptual organization comprises a wide range of processes such as perceptual grouping, figure-ground organization, filling-in, completion, perceptual switching, etc. Such processes are most notable in the context of shape perception but they also play a role in texture perception, lightness perception, color perception, motion perception, depth perception, etc. Perceptual organization deals with a variety of perceptual phenomena of central interest, studied frommany different perspectives, including psychophysics, experimental psychology, neuropsychology, neuroimaging, neurophysiology, and computational modeling.The Oxford Handbook of PerceptualOrganization provides a broad and extensive review of the current literature, written in an accessible form for scholars and students. This is the state-of-the-art reference work on this topic, and will be so for many years to come.

Computational Vision

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Author: Hanspeter A. Mallot
Publisher: MIT Press
ISBN: 9780262133814
Size: 15.72 MB
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Computational Vision by Hanspeter A. Mallot

Original Title: Computational Vision

This text provides an introduction to computational aspects of early vision, in particular, color, stereo, and visual navigation. It integrates approaches from psychophysics and quantitative neurobiology, as well as theories and algorithms from machine vision and photogrammetry. When presenting mathematical material, it uses detailed verbal descriptions and illustrations to clarify complex points. The text is suitable for upper-level students in neuroscience, biology, and psychology who have basic mathematical skills and are interested in studying the mathematical modeling of perception.

Perceptual Organization In Vision

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Author: Ruth Kimchi
Publisher: Psychology Press
ISBN: 1135647232
Size: 70.93 MB
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Perceptual Organization In Vision by Ruth Kimchi

Original Title: Perceptual Organization In Vision

Understanding visual perceptual organization remains a challenge for vision science. Perceptual Organization in Vision: Behavioral and Neural Perspectives explores ideas emanating from behavioral, developmental, neuropsychological, neurophysiological, and computational approaches to the problem of perceptual organization. The growing body of research on perceptual organization has converged on a number of critical issues, most of which are addressed in this volume. These include issues concerning the nature and order of organizational processes, the stimulus factors that engage the mechanisms of organization, the developmental stage at which the mechanisms of organization are available, the role of past experience and learning in organization, the neural mechanisms underlying perceptual organization, and the relations between perceptual organization and other cognitive processes, in particular, object recognition and visual attention. Divided into four parts, the book is designed not only to detail the current state of the art in the field but also to promote an interdisciplinary approach to the study of perceptual organization. Part I presents an overview of the problem of perceptual organization, different frameworks for understanding perceptual organization, and a state-of-the-art summary of the domain. Part II details which organizational processes are hardwired in the perceptual system, which are acquired through experience, and how object perception relates to other aspects of cognition. Part III describes various attempts to understand the neural mechanisms underlying perceptual organization using two different approaches--neurophysiological and neuropsychological. Part IV offers a computational approach to the problem. This book is intended for cognitive psychologists, neuroscientists, computational vision scientists, and developmental psychologists.

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