Visual Object Recognition - Brossura

Grauman, Kristen; Leibe, Bastian

 
9781598299687: Visual Object Recognition

Sinossi

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 / Conclusions

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Product Description

Book by Grauman Kristen Leibe Bastian

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Altre edizioni note dello stesso titolo

9783031004254: Visual Object Recognition

Edizione in evidenza

ISBN 10:  3031004256 ISBN 13:  9783031004254
Casa editrice: Springer, 2011
Brossura