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Image Processing, Computer Vision, Pattern Recognition, and Graphics

Toward Category-Level Object Recognition

Herausgeber: Ponce, J., Hebert, M., Schmid, C., Zisserman, A. (Eds.)

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Über dieses Buch

Although research in computer vision for recognizing 3D objects in photographs dates back to the 1960s, progress was relatively slow until the turn of the millennium, and only now do we see the emergence of effective techniques for recognizing object categories with different appearances under large variations in the observation conditions. Tremendous progress has been achieved in the past five years, thanks largely to the integration of new data representations, such as invariant semi-local features, developed in the computer vision community with the effective models of data distribution and classification procedures developed in the statistical machine-learning community.

This volume is a post-event proceedings volume and contains selected papers based on presentations given, and vivid discussions held, during two workshops held in Taormina in 2003 and 2004. The main goals of these two workshops were to promote the creation of an international object recognition community, with common datasets and evaluation procedures, to map the state of the art and identify the main open problems and opportunities for synergistic research, and to articulate the industrial and societal needs and opportunities for object recognition research worldwide.

The 30 thoroughly revised papers presented are organized in the following topical sections: recognition of specific objects, recognition of object categories, recognition of object categories with geometric relations, and joint recognition and segmentation.

Inhaltsverzeichnis (30 Kapitel)

  • Object Recognition in the Geometric Era: A Retrospective

    Mundy, Joseph L.

    Seiten 3-28

  • Dataset Issues in Object Recognition

    Ponce, J. (et al.)

    Seiten 29-48

  • Industry and Object Recognition: Applications, Applied Research and Challenges

    Hirano, Yutaka (et al.)

    Seiten 49-64

  • What and Where: 3D Object Recognition with Accurate Pose

    Gordon, Iryna (et al.)

    Seiten 67-82

  • Object Recognition Using Local Affine Frames on Maximally Stable Extremal Regions

    Obdržálek, Štěpán (et al.)

    Seiten 83-104

Dieses Buch kaufen

eBook 101,14 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-540-68795-5
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: PDF
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf
Softcover 128,39 €
Preis für Deutschland (Brutto)
  • ISBN 978-3-540-68794-8
  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
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Bibliografische Information

Bibliographic Information
Buchtitel
Toward Category-Level Object Recognition
Herausgeber
  • Jean Ponce
  • Martial Hebert
  • Cordelia Schmid
  • Andrew Zisserman
Titel der Buchreihe
Image Processing, Computer Vision, Pattern Recognition, and Graphics
Buchreihen Band
4170
Copyright
2006
Verlag
Springer-Verlag Berlin Heidelberg
Copyright Inhaber
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-68795-5
DOI
10.1007/11957959
Softcover ISBN
978-3-540-68794-8
Auflage
1
Seitenzahl
XI, 620
Themen