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Object Recognition, Attention, and Action

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  • © 2007

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About this book

Human object recognition is a classical topic both for philosophy and for the natural sciences. The idea that visual recognition is action oriented developed in philosophy and psychology but inspired the approaches of sensory-motor integration in physiology and active vision in robotics. Attention, originally a psychological concept, is now a hot topic both for the neurosciences and computer science. Indeed, problems of competition among concurrent processes of data analysis, task requirements, and economic allocation of processing resources remain to be solved. Ultimately, understanding of object recognition will be promoted by the cooperation of behavioral research, neurophysiology, and computation.

This book provides an excellent introduction to the issues that are involved, with chapters that address the ways in which humans and machines attend to, recognize, and act toward objects in the visual environment.

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Table of contents (16 chapters)

  1. An Editorial Overview

Editors and Affiliations

  • Department of Psychology, Graduate School of Letters, Kyoto University, Kyoto, Japan

    Naoyuki Osaka

  • Institute of Medical Psychology, University of Munich, Munich, Germany

    Ingo Rentschler

  • Image Understanding Laboratory, University of Southern California, Los Angeles, USA

    Irving Biederman

Bibliographic Information

  • Book Title: Object Recognition, Attention, and Action

  • Editors: Naoyuki Osaka, Ingo Rentschler, Irving Biederman

  • DOI: https://doi.org/10.1007/978-4-431-73019-4

  • Publisher: Springer Tokyo

  • eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)

  • Copyright Information: Springer-Verlag Tokyo 2007

  • Hardcover ISBN: 978-4-431-73018-7Published: 18 September 2007

  • Softcover ISBN: 978-4-431-99824-2Published: 21 October 2010

  • eBook ISBN: 978-4-431-73019-4Published: 12 March 2009

  • Edition Number: 1

  • Number of Pages: XIII, 250

  • Number of Illustrations: 72 b/w illustrations

  • Topics: Neurosciences, Neurobiology

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