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Object Categorization
Computer and Human Vision Perspectives

$169.99

Sven Dickinson, James J. DiCarlo, Pietro Perona, Shimon Edelman, Gerard Medioni, Kalanit Grill-Spector, Kevin Bowyer, Melanie Sutton, Louise Stark, Donald Hoffman, D.A. Forsyth, Tamara Berg, Cecilia Ovesdotter Alm, Ali Farhadi, Julia Hockenmaier, Nicolas Loeff, Gang Wang, Charles Connor, Sanja Fidler, Marko Boben, Ales Leonardis, Maximilian Riesenhuber, Jake Porway, Benjamin Yao, Song Chun Zhu, Edmund Rolls, Shimon Ullman, Pawan Sinha, Benjamin Balas, Yuri Ostrovsky, Jonas Wulff, Mario Fritz, Bernt Schiele, K. Suzanne Scherf, Marlene Behrmann, Kate Humphreys, Marius Leordeanu, Martial Hebert, Rahul Sukthankar, Kestutis Kveraga, Jasmine Boshyan, Moshe Bar, Svetlana Lazebnik, Cordelia Schmid, Jean Ponce, Zoe Kourtzi, Benjamin Kimia, Tai Sing Lee, Tom Stepleton, Brian Potetz, Jason Samonds, Kaleem Siddiqi, Stephen Pizer, C. Wallraven, Heinrich Bulthoff, David W. Jacobs
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  • Date Published: September 2009
  • availability: In stock
  • format: Hardback
  • isbn: 9780521887380

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About the Authors
  • This edited volume presents a unique multidisciplinary perspective on the problem of visual object categorization. The result of a series of four highly successful workshops on the topic, the book gathers many of the most distinguished researchers from both computer and human vision to reflect on their experience, identify open problems, and foster a cross-disciplinary discussion with the idea that parallel problems and solutions have arisen in both domains. Twenty-seven of these workshop speakers have contributed chapters, including fourteen from computer vision and thirteen from human vision. Their contributions range from broad perspectives on the problem to more specific approaches, collectively providing important historical context, identifying the major challenges, and presenting recent research results. This multidisciplinary collection is the first of its kind on the topic of object categorization, providing an outstanding context for graduate students and researchers in both computer and human vision.

    • OfferS a multidisciplinary perspective, with contributors from both computer and human vision
    • Contains contributions from the leading researchers in object categorization
    • Chapters offer a diverse view of the problem, including competing theories, broad perspectives, and recent results
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    Product details

    • Date Published: September 2009
    • format: Hardback
    • isbn: 9780521887380
    • length: 552 pages
    • dimensions: 103 x 72 x 37 mm
    • weight: 1.4kg
    • contains: 104 b/w illus. 11 tables
    • availability: In stock
  • Table of Contents

    1. The evolution of object categorization and the challenge of image abstraction Sven Dickinson
    2. Can we understand how the brain solves object recognition James J. DiCarlo
    3. Visual recognition: where do we come from? What are we doing? Where should we go? Pietro Perona
    4. On what it means to see, and what we can do about it Shimon Edelman
    5. Generic object recognition: the case for high level 3-D features Gerard Medioni
    6. Functional organization and development of the human ventral stream Kalanit Grill-Spector
    7. Reasoning about functionality: object recognition and related developments Kevin Bowyer, Melanie Sutton and Louise Stark
    8. The user-interface theory of perception: perception and categorization in the context of evolution Donald Hoffman
    9. Digital images in large collections or on the web often appear near text D. A. Forsyth, Tamara Berg, Cecilia Ovesdotter Alm, Ali Farhadi, Julia Hockenmaier, Nicolas Loeff and Gang Wang
    10. Structural representation of object shape in the brain Charles Connor
    11. Learning hierarchical compositional representations of object structure Sanja Fidler, Marko Boben and Ales Leonardis
    12. Object categorization in man, monkey, and machine: some answers and some open questions Maximilian Riesenhuber
    13. Learning object category modeling, learning, and recognition by stochastic grammar Jake Porway, Benjamin Yao and Song Chun Zhu
    14. The neurophysiology and computational mechanisms of object representation Edmund Rolls
    15. Recognizing visual classes and individual objects by semantic hierarchies Shimon Ullman
    16. Early stages of object categorization Pawan Sinha, Benjamin Balas, Yuri Ostrovsky and Jonas Wulff
    17. Towards integration of different paradigms in modeling, representation and learning of visual categories Mario Fritz and Bernt Schiele
    18. Acquisition and breakdown of category-specificity in the ventral visual stream K. Suzanne Scherf, Marlene Behrmann and Kate Humphreys
    19. Using simple features and relations Marius Leordeanu, Martial Hebert and Rahul Sukthankar
    20. The proactive brain: using memory to anticipate what's next Kestutis Kveraga, Jasmine Boshyan and Moshe Bar
    21. Spatial pyramid matching Svetlana Lazebnik, Cordelia Schmid and Jean Ponce
    22. Perceptual decisions and visual learning in the human brain Zoe Kourtzi
    23. Shapes and shock graphs: from segmented shapes to shapes embedded in images Benjamin Kimia
    24. Correlated structures in natural scenes and their implications on neural learning of prior models for objects and surfaces Tai Sing Lee, Tom Stepleton, Brian Potetz and Jason Samonds
    25. Medial models for recognition Kaleem Siddiqi and Stephen Pizer
    26. Multimodal categorization C. Wallraven and Heinrich Bulthoff
    27. Comparing images of 3-D objects David W. Jacobs.

  • Editors

    Sven J. Dickinson, University of Toronto
    Sven Dickinson is Professor of Computer Science at the University of Toronto. From 1994 until 2000, he was Assistant Professor at Rutgers University, where he held joint appointments in the Department of Computer Science and the Rutgers Center for Cognitive Science. He was co-chair of the 1997, 1999, 2004, and 2007 IEEE International Workshops on Generic Object Recognition and Categorization and co-chair of the First International Workshop on Shape Perception in Human and Computer Vision in 2008.

    Aleš Leonardis, University of Ljubljana
    Aleš Leonardis is a Professor and Head of the Visual Cognitive Systems Laboratory at University of Ljubljana and Adjunct Professor at the Faculty of Computer Science, Graz University of Technology. He was a researcher and visiting professor at University of Pennsylvania, Vienna University of Technology, Swiss Federal Institute of Technology, and University of Erlangen.

    Bernt Schiele, Technische Universität, Darmstadt, Germany
    Bernt Schiele is Professor of Computer Science at TU Darmstadt, Germany. He obtained his Ph.D. from INPG in Grenoble, France. He was researcher at Carnegie Mellon University and visiting Assistant Professor at Massachusetts Institute of Technology, as well as Assistant Professor at the Swiss Federal Institute of Technology in Zurich (ETH Zurich).

    Michael J. Tarr, Carnegie Mellon University, Pennsylvania
    Michael J. Tarr is the Fox Professor of Ophthalmology and Visual Sciences, a Professor of Cognitive and Linguistic Sciences, and the co-director of the Center for Vision Research at Brown University. From 1989 to 1995 he was an Assistant Professor of Psychology and Computer Science at Yale University.

    Contributors

    Sven Dickinson, James J. DiCarlo, Pietro Perona, Shimon Edelman, Gerard Medioni, Kalanit Grill-Spector, Kevin Bowyer, Melanie Sutton, Louise Stark, Donald Hoffman, D.A. Forsyth, Tamara Berg, Cecilia Ovesdotter Alm, Ali Farhadi, Julia Hockenmaier, Nicolas Loeff, Gang Wang, Charles Connor, Sanja Fidler, Marko Boben, Ales Leonardis, Maximilian Riesenhuber, Jake Porway, Benjamin Yao, Song Chun Zhu, Edmund Rolls, Shimon Ullman, Pawan Sinha, Benjamin Balas, Yuri Ostrovsky, Jonas Wulff, Mario Fritz, Bernt Schiele, K. Suzanne Scherf, Marlene Behrmann, Kate Humphreys, Marius Leordeanu, Martial Hebert, Rahul Sukthankar, Kestutis Kveraga, Jasmine Boshyan, Moshe Bar, Svetlana Lazebnik, Cordelia Schmid, Jean Ponce, Zoe Kourtzi, Benjamin Kimia, Tai Sing Lee, Tom Stepleton, Brian Potetz, Jason Samonds, Kaleem Siddiqi, Stephen Pizer, C. Wallraven, Heinrich Bulthoff, David W. Jacobs

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