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Publisher : Psychology Press
ISBN 13 : 9780805814972
Total Pages : 744 pages
Book Rating : 4.8/5 (149 download)
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ISBN 13 :
Total Pages : 616 pages
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ISBN 13 :
Total Pages : 670 pages
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ISBN 13 :
Total Pages : 674 pages
Book Rating : 4.3/5 (91 download)
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ISBN 13 :
Total Pages : 796 pages
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ISBN 13 :
Total Pages : 1572 pages
Book Rating : 4.:/5 (31 download)
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ISBN 13 :
Total Pages : 2240 pages
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ISBN 13 :
Total Pages : 980 pages
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ISBN 13 :
Total Pages : 870 pages
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ISBN 13 :
Total Pages : 720 pages
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ISBN 13 :
Total Pages : 980 pages
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Author : Kristen Grauman
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1598299689
Total Pages : 184 pages
Book Rating : 4.5/5 (982 download)
Download or read book Visual Object Recognition written by Kristen Grauman and published by Morgan & Claypool Publishers. This book was released on 2011 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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ISBN 13 :
Total Pages : 302 pages
Book Rating : 4.:/5 (43 download)
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ISBN 13 :
Total Pages : 2264 pages
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ISBN 13 :
Total Pages : 774 pages
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