Toward Category-Level Object Recognition

Jean Ponce (u. a.)

ISBN 10: 3540687947 / ISBN 13: 9783540687948

Published by Springer, 2006

About this Item

Toward Category-Level Object Recognition | Jean Ponce (u. a.) | Taschenbuch | xi | Englisch | 2006 | Springer | EAN 9783540687948 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 102118375

Bibliographic Details

• Title: Toward Category-Level Object Recognition
• Publisher: Springer
• Publication Date: 2006
• Language: English
• ISBN 10: 3540687947
• ISBN 13: 9783540687948
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 34D millimeters 235 millimeters width by 155 millimeters height by 34 millimeters depth
• Weight: 943 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.