Editors:
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 4170)
Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)
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Table of contents (30 chapters)
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Recognition of Object Categories
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Recognition of Object Categories with Geometric Relations
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Front Matter
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Joint Recognition and Segmentation
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Front Matter
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Back Matter
About this book
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.
Editors and Affiliations
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Département d’Informatique, Ecole Normale Supérieure, Paris, France
Jean Ponce
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Carnegie Mellon University, Pittsburgh, USA
Martial Hebert
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GRAVIR-INRIA, Montbonnot, France
Cordelia Schmid
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Department of Engineering Science, University of Oxford, Oxford, UK
Andrew Zisserman
Bibliographic Information
Book Title: Toward Category-Level Object Recognition
Editors: Jean Ponce, Martial Hebert, Cordelia Schmid, Andrew Zisserman
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/11957959
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2006
Softcover ISBN: 978-3-540-68794-8Published: 22 December 2006
eBook ISBN: 978-3-540-68795-5Published: 25 January 2007
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XI, 620
Topics: Pattern Recognition, Computer Imaging, Vision, Pattern Recognition and Graphics, Image Processing and Computer Vision, Artificial Intelligence, Computer Graphics, Algorithm Analysis and Problem Complexity