Object Recognition In Man Monkey And Machine

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Object Recognition in Man, Monkey, and Machine

Author : Michael J. Tarr,Heinrich H. Bulthoff
Publisher : MIT Press
Page : 228 pages
File Size : 53,5 Mb
Release : 1999-03-15
Category : Psychology
ISBN : 0262700700

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Object Recognition in Man, Monkey, and Machine by Michael J. Tarr,Heinrich H. Bulthoff Pdf

The contributors bring a wide range of methodologies to bear on the common problem of image-based object recognition. These interconnected essays on three-dimensional visual object recognition present cutting-edge research by some of the most creative neuroscientific, cognitive, and computational scientists in the field. Cassandra Moore and Patrick Cavanagh take a classic demonstration, the perception of "two-tone" images, and turn it into a method for understanding the nature of object representations in terms of surfaces and the interaction between bottom-up and top-down processes. Michael J. Tarr and Isabel Gauthier use computer graphics to study whether viewpoint-dependent recognition mechanisms can generalize between exemplars of perceptually defined classes. Melvyn A. Goodale and G. Keith Humphrey use innovative psychophysical techniques to investigate dissociable aspects of visual and spatial processing in brain-injured subjects. D.I. Perrett, M.W. Oram, and E. Ashbridge combine neurophysiological single-cell data from monkeys with computational analyses for a new way of thinking about the mechanisms that mediate viewpoint-dependent object recognition and mental rotation. Shimon Ullman also addresses possible mechanisms to account for viewpoint-dependent behavior, but from the perspective of machine vision. Finally, Philippe G. Schyns synthesizes work from many areas, to provide a coherent account of how stimulus class and recognition task interact. The contributors bring a wide range of methodologies to bear on the common problem of image-based object recognition.

Visual Object Recognition

Author : Kristen Grauman,Bastian Leibe
Publisher : Morgan & Claypool Publishers
Page : 184 pages
File Size : 46,9 Mb
Release : 2011
Category : Computers
ISBN : 9781598299687

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Visual Object Recognition by Kristen Grauman,Bastian Leibe Pdf

The visual recognition problem is central to computer vision research. From robotics to information retrieval, many desired applications demand the ability to identify and localize categories, places, and objects. This tutorial overviews computer vision algorithms for visual object recognition and image classification. We introduce primary representations and learning approaches, with an emphasis on recent advances in the field. The target audience consists of researchers or students working in AI, robotics, or vision who would like to understand what methods and representations are available for these problems. This lecture summarizes what is and isn't possible to do reliably today, and overviews key concepts that could be employed in systems requiring visual categorization. Table of Contents: Introduction / Overview: Recognition of Specific Objects / Local Features: Detection and Description / Matching Local Features / Geometric Verification of Matched Features / Example Systems: Specific-Object Recognition / Overview: Recognition of Generic Object Categories / Representations for Object Categories / Generic Object Detection: Finding and Scoring Candidates / Learning Generic Object Category Models / Example Systems: Generic Object Recognition / Other Considerations and Current Challenges / Conclusions

Object Recognition, Attention, and Action

Author : Naoyuki Osaka,Ingo Rentschler,Irving Biederman
Publisher : Springer Science & Business Media
Page : 252 pages
File Size : 42,8 Mb
Release : 2009-03-12
Category : Medical
ISBN : 9784431730194

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Object Recognition, Attention, and Action by Naoyuki Osaka,Ingo Rentschler,Irving Biederman Pdf

Human object recognition is a classical topic both for philosophy and for the natural sciences. Ultimately, understanding of object recognition will be promoted by the cooperation of behavioral research, neurophysiology, and computation. This original book provides an excellent introduction to the issues that are involved. It contains chapters that address the ways in which humans and machines attend to, recognize, and act toward objects in the visual environment.

Intelligent Autonomous Systems 7

Author : Maria Gini
Publisher : IOS Press
Page : 442 pages
File Size : 46,5 Mb
Release : 2002
Category : Computers
ISBN : 1586032399

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Intelligent Autonomous Systems 7 by Maria Gini Pdf

The goal of the Seventh International Conference on Intelligent Autonomous Systems (IAS-7) was to exchange and stimulate research ideas that make future robots and systems more intelligent and autonomous. This volume of proceedings contains 71 technical papers by authors from 15 countries.

Object Recognition

Author : M. Bennamoun,G.J. Mamic
Publisher : Springer Science & Business Media
Page : 352 pages
File Size : 50,5 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781447137221

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Object Recognition by M. Bennamoun,G.J. Mamic Pdf

Automatie object recognition is a multidisciplinary research area using con cepts and tools from mathematics, computing, optics, psychology, pattern recognition, artificial intelligence and various other disciplines. The purpose of this research is to provide a set of coherent paradigms and algorithms for the purpose of designing systems that will ultimately emulate the functions performed by the Human Visual System (HVS). Hence, such systems should have the ability to recognise objects in two or three dimensions independently of their positions, orientations or scales in the image. The HVS is employed for tens of thousands of recognition events each day, ranging from navigation (through the recognition of landmarks or signs), right through to communication (through the recognition of characters or people themselves). Hence, the motivations behind the construction of recognition systems, which have the ability to function in the real world, is unquestionable and would serve industrial (e.g. quality control), military (e.g. automatie target recognition) and community needs (e.g. aiding the visually impaired). Scope, Content and Organisation of this Book This book provides a comprehensive, yet readable foundation to the field of object recognition from which research may be initiated or guided. It repre sents the culmination of research topics that I have either covered personally or in conjunction with my PhD students. These areas include image acqui sition, 3-D object reconstruction, object modelling, and the matching of ob jects, all of which are essential in the construction of an object recognition system.

World Congress of Medical Physics and Biomedical Engineering 2006

Author : Sun I. Kim,Tae S. Suh
Publisher : Springer Science & Business Media
Page : 4361 pages
File Size : 55,9 Mb
Release : 2007-05-07
Category : Technology & Engineering
ISBN : 9783540368397

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World Congress of Medical Physics and Biomedical Engineering 2006 by Sun I. Kim,Tae S. Suh Pdf

These proceedings of the World Congress 2006, the fourteenth conference in this series, offer a strong scientific program covering a wide range of issues and challenges which are currently present in Medical physics and Biomedical Engineering. About 2,500 peer reviewed contributions are presented in a six volume book, comprising 25 tracks, joint conferences and symposia, and including invited contributions from well known researchers in this field.

Bio-Inspired Applications of Connectionism

Author : Jose Mira,Alberto Prieto
Publisher : Springer
Page : 875 pages
File Size : 43,7 Mb
Release : 2003-06-29
Category : Computers
ISBN : 9783540457237

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Bio-Inspired Applications of Connectionism by Jose Mira,Alberto Prieto Pdf

Underlying most of the IWANN calls for papers is the aim to reassume some of the motivations of the groundwork stages of biocybernetics and the later bionics formulations and to try to reconsider the present value of two basic questions. The?rstoneis:“Whatdoesneurosciencebringintocomputation(thenew bionics)?” That is to say, how can we seek inspiration in biology? Titles such as “computational intelligence”, “arti?cial neural nets”, “genetic algorithms”, “evolutionary hardware”, “evolutive architectures”, “embryonics”, “sensory n- romorphic systems”, and “emotional robotics” are representatives of the present interest in “biological electronics” (bionics). Thesecondquestionis:“Whatcanreturncomputationtoneuroscience(the new neurocybernetics)?” That is to say, how can mathematics, electronics, c- puter science, and arti?cial intelligence help the neurobiologists to improve their experimental data modeling and to move a step forward towards the understa- ing of the nervous system? Relevant here are the general philosophy of the IWANN conferences, the sustained interdisciplinary approach, and the global strategy, again and again to bring together physiologists and computer experts to consider the common and pertinent questions and the shared methods to answer these questions.

Object Categorization

Author : Sven J. Dickinson
Publisher : Cambridge University Press
Page : 553 pages
File Size : 44,8 Mb
Release : 2009-09-07
Category : Computers
ISBN : 9780521887380

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Object Categorization by Sven J. Dickinson Pdf

A unique multidisciplinary perspective on the problem of visual object categorization.

Perception of Faces, Objects, and Scenes

Author : Mary A. Peterson,Gillian Rhodes
Publisher : Advances in Visual Cognition
Page : 402 pages
File Size : 41,6 Mb
Release : 2006
Category : Psychology
ISBN : 9780195313659

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Perception of Faces, Objects, and Scenes by Mary A. Peterson,Gillian Rhodes Pdf

From a barrage of photons, we readily and effortlessly recognize the faces of our friends, and the familiar objects and scenes around us. However, these tasks cannot be simple for our visual systems--faces are all extremely similar as visual patterns, and objects look quite different when viewed from different viewpoints. How do our visual systems solve these problems? The contributors to this volume seek to answer this question by exploring how analytic and holistic processes contribute to our perception of faces, objects, and scenes. The role of parts and wholes in perception has been studied for a century, beginning with the debate between Structuralists, who championed the role of elements, and Gestalt psychologists, who argued that the whole was different from the sum of its parts. This is the first volume to focus on the current state of the debate on parts versus wholes as it exists in the field of visual perception by bringing together the views of the leading researchers. Too frequently, researchers work in only one domain, so they are unaware of the ways in which holistic and analytic processing are defined in different areas. The contributors to this volume ask what analytic and holistic processes are like; whether they contribute differently to the perception of faces, objects, and scenes; whether different cognitive and neural mechanisms code holistic and analytic information; whether a single, universal system can be sufficient for visual-information processing, and whether our subjective experience of holistic perception might be nothing more than a compelling illusion. The result is a snapshot of the current thinking on how the processing of wholes and parts contributes to our remarkable ability to recognize faces, objects, and scenes, and an illustration of the diverse conceptions of analytic and holistic processing that currently coexist, and the variety of approaches that have been brought to bear on the issues.

From Monkey Brain to Human Brain

Author : Stanislas Dehaene
Publisher : MIT Press
Page : 446 pages
File Size : 53,9 Mb
Release : 2005
Category : Brain
ISBN : 0262042231

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From Monkey Brain to Human Brain by Stanislas Dehaene Pdf

Leaders in cognitive psychology, comparative biology, and neuroscience discuss patterns of convergence and divergence seen in studies of human and nonhuman primate brains. The extraordinary overlap between human and chimpanzee genomes does not result in an equal overlap between human and chimpanzee thoughts, sensations, perceptions, and emotions; there are considerable similarities but also considerable differences between human and nonhuman primate brains. From Monkey Brain to Human Brain uses the latest findings in cognitive psychology, comparative biology, and neuroscience to look at the complex patterns of convergence and divergence in primate cortical organization and function. Several chapters examine the use of modern technologies to study primate brains, analyzing the potentials and the limitations of neuroimaging as well as genetic and computational approaches. These methods, which can be applied identically across different species of primates, help to highlight the paradox of nonlinear primate evolution--the fact that major changes in brain size and functional complexity resulted from small changes in the genome. Other chapters identify plausible analogs or homologs in nonhuman primates for such human cognitive functions as arithmetic, reading, theory of mind, and altruism; examine the role of parietofrontal circuits in the production and comprehension of actions; analyze the contributions of the prefrontal and cingulate cortices to cognitive control; and explore to what extent visual recognition and visual attention are related in humans and other primates. The Fyssen Foundation is dedicated to encouraging scientific inquiry into the cognitive mechanisms that underlie animal and human behavior and has long sponsored symposia on topics of central importance to the cognitive sciences.

Machine Learning and Robot Perception

Author : Bruno Apolloni,Ashish Ghosh,Ferda Alpaslan,Srikanta Patnaik
Publisher : Springer Science & Business Media
Page : 370 pages
File Size : 45,7 Mb
Release : 2005-09-14
Category : Technology & Engineering
ISBN : 354026549X

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Machine Learning and Robot Perception by Bruno Apolloni,Ashish Ghosh,Ferda Alpaslan,Srikanta Patnaik Pdf

This book presents some of the most recent research results in the area of machine learning and robot perception. The chapters represent new ways of solving real-world problems. The book covers topics such as intelligent object detection, foveated vision systems, online learning paradigms, reinforcement learning for a mobile robot, object tracking and motion estimation, 3D model construction, computer vision system and user modelling using dialogue strategies. This book will appeal to researchers, senior undergraduate/postgraduate students, application engineers and scientists.

Pattern Recognition by Man and Machine

Author : Roger J. Watt
Publisher : Springer
Page : 172 pages
File Size : 48,9 Mb
Release : 1991
Category : Computers
ISBN : UOM:39015022048170

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Pattern Recognition by Man and Machine by Roger J. Watt Pdf

Springer Handbook of Robotics

Author : Bruno Siciliano,Oussama Khatib
Publisher : Springer Science & Business Media
Page : 1626 pages
File Size : 55,8 Mb
Release : 2008-05-20
Category : Technology & Engineering
ISBN : 9783540239574

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Springer Handbook of Robotics by Bruno Siciliano,Oussama Khatib Pdf

With the science of robotics undergoing a major transformation just now, Springer’s new, authoritative handbook on the subject couldn’t have come at a better time. Having broken free from its origins in industry, robotics has been rapidly expanding into the challenging terrain of unstructured environments. Unlike other handbooks that focus on industrial applications, the Springer Handbook of Robotics incorporates these new developments. Just like all Springer Handbooks, it is utterly comprehensive, edited by internationally renowned experts, and replete with contributions from leading researchers from around the world. The handbook is an ideal resource for robotics experts but also for people new to this expanding field.

Multisensory Object Perception in the Primate Brain

Author : Marcus Johannes Naumer,Jochen Kaiser
Publisher : Springer Science & Business Media
Page : 383 pages
File Size : 50,8 Mb
Release : 2010-07-03
Category : Medical
ISBN : 9781441956156

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Multisensory Object Perception in the Primate Brain by Marcus Johannes Naumer,Jochen Kaiser Pdf

It should come as no surprise to those interested in sensory processes that its research history is among the longest and richest of the many systematic efforts to understand how our bodies function. The continuing obsession with sensory systems is as much a re?ection of the fundamental need to understand how we experience the physical world as it is to understand how we become who we are based on those very experiences. The senses function as both portal and teacher, and their individual and collective properties have fascinated scientists and philosophers for millennia. In this context, the attention directed toward specifying their properties on a sense-by-sense basis that dominated sensory research in the 20th century seems a prelude to our current preoccupation with how they function in concert. Nevertheless, it was the concentrated effort on the operational principles of in- vidual senses that provided the depth of understanding necessary to inform current efforts to reveal how they act cooperatively. We know that the information provided by any individual sensory modality is not always veridical, but is subject to a myriad of modality-speci?c distortions. Thus, the brain’s ability to compare across the senses and to integrate the information they provide is not only a way to examine the accuracy of any individual sensory channel but also a way to enhance the collective information they make available to the brain.