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Visual Object Recognition by Grauman Kristen (15 results)
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Visual Object Recognition (Synthesis Lectures on Artificial Intelligence and Machine Learning, 11)
Published by Morgan & Claypool Publishers, 2011
ISBN 10: 1598299689 ISBN 13: 9781598299687
Language: English
paperback. Condition: Very Good. Fast Shipping - Safe and Secure 7 days a week!
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Soft Cover. Condition: Good. Ex-library with the usual features. Library label on front cover. The interior is clean and tight. Binding is good. Cover shows very light wear. Ex-Library.
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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Visual Object Recognition
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Visual Object Recognition
Published by Springer International Publishing AG, CH, 2011
ISBN 10: 3031004256 ISBN 13: 9783031004254
Language: English
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. 1°. 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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Visual Object Recognition (Synthesis Lectures on Artificial Intelligence and Machine Learning)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In English.
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Condition: New. 1st edition NO-PA16APR2015-KAP.
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PF. Condition: New.
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Paperback. Condition: Brand New. 120 pages. 9.25x7.50x0.50 inches. In Stock.
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Condition: NEW.
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Visual Object Recognition
Published by Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2011
ISBN 10: 3031004256 ISBN 13: 9783031004254
Language: English
Condition: New. 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 alg.
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Visual Object Recognition
Published by Springer International Publishing AG, CH, 2011
ISBN 10: 3031004256 ISBN 13: 9783031004254
Language: English
Paperback. Condition: New. 1°. 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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Paperback. Condition: Brand New. 180 pages. 9.25x7.51x9.25 inches. In Stock. This item is printed on demand.
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Condition: New. Print on Demand.
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Condition: New. PRINT ON DEMAND.
