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Object Categorization Computer and Human Vision Perspectives 1st Edition by Sven Dickinson, Ales Leonardis, Bernt Schiele, Michael Tarr 0521887380 9780521887380

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Object Categorization Computer and Human Vision Perspectives 1st Edition Sven J. Dickinson Digital Instant Download

Author(s): Sven J. Dickinson, Ales Leonardis, Bernt Schiele, Michael J. Tarr
ISBN(s): 9780521887380, 0521887380
Edition: 1
File Details: PDF, 14.19 MB
Year: 2009
Language: english
SKU: EB-1654042 Category: Tags: , , ,

Object Categorization Computer and Human Vision Perspectives 1st Edition by Sven Dickinson, Ales Leonardis, Bernt Schiele, Michael Tarr – Ebook PDF Instant Download/Delivery: 0521887380, 9780521887380

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Product details:

ISBN 10: 0521887380 

ISBN 13: 9780521887380

Author: Sven J. Dickinson, Ales Leonardis, Bernt Schiele, Michael J. Tarr

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.

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

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Tags: Sven Dickinson, Ales Leonardis, Bernt Schiele, Michael Tarr, Categorization