Visual Object Recognition

Language: English

Published by Springer, Springer Apr 2011, 2011

3031004256 / 9783031004254

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This item is printed on demand - Print on Demand Titel. Neuware -The visual recognition problem is central to computer vision research. From robotics to information retrieval, many desired applications demand the ability to identify and localize categories, places, and objects. This tutorial overviews computer vision algorithms for visual object recognition and image classification. We introduce primary representations and learning approaches, with an emphasis on recent advances in the field. The target audience consists of researchers or students working in AI, robotics, or vision who would like to understand what methods and representations are available for these problems. This lecture summarizes what is and isn't possible to do reliably today, and overviews key concepts that could be employed in systems requiring visual categorization. Table of Contents: Introduction / Overview: Recognition of Specific Objects / Local Features: Detection and Description / Matching Local Features / Geometric Verification of Matched Features / Example Systems: Specific-Object Recognition / Overview: Recognition of Generic Object Categories / Representations for Object Categories / Generic Object Detection: Finding and Scoring Candidates / Learning Generic Object Category Models / Example Systems: Generic Object Recognition / Other Considerations and Current Challenges / ConclusionsSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 184 pp. Englisch. …

Seller Inventory # 9783031004254

Title
Visual Object Recognition
Author
Kristen Grauman
Publisher
Springer, Springer Apr 2011
Publication year
2011
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3031004256
ISBN 13
9783031004254
Item weight
356 grams
Dimensions
235x191x11 mm

buchversandmimpf2000

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