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Learning Probabilistic Methods Visual by Abdul Hafez (15 results)
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Condition: As New. Unread book in perfect condition.
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Learning and Probabilistic Methods for Visual Servoing and Tracking: An Optimization Approach
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 71.58
£ 11.98 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Learning and Probabilistic Methods for Visual Servoing and Tracking
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Learning and Probabilistic Methods for Visual Servoing and Tracking
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Learning and Probabilistic Methods for Visual Servoing and Tracking
Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10: 3639719204 ISBN 13: 9783639719208
Condition: New. pp. 236.
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Taschenbuch. Condition: Neu. Learning and Probabilistic Methods for Visual Servoing and Tracking | An Optimization Approach | Abdul Hafez Abdul Hafez | Taschenbuch | 236 S. | Englisch | 2014 | Scholars' Press | EAN 9783639719208 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Learning and Probabilistic Methods for Visual Servoing and Tracking An Optimization Approach
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
£ 72.60
£ 4.16 shipping
Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Learning and Probabilistic Methods for Visual Servoing and Tracking
Language: English
Published by Scholars' Press Jun 2014, 2014
ISBN 10: 3639719204 ISBN 13: 9783639719208
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The long term dream of robotic research is to develop systems with the abilities to carry out tasks in highly complex and dynamic everyday environments like home or office. To realize this dream, it is important to improve the sensory capabilities of the robots. Vision has proved to be the most versatile sensor for robotic applications. Computer vision algorithms have successfully been used to control a variety of dynamic systems including manipulator arms, mobile robots, autonomous, and underwater vehicles. Using visual feedback to close the control loop of robot arm is now referred to as visual servoing. Visual tracking in image sequences is an important topic of research in visual servoing and general robot vision applications. Robust extraction and real-time visual tracking of visual cues is indeed one of the keys to success of a visual servoing task. This book presents visual servoing and tracking algorithms based on probabilistic and learning techniques. First, different types of information, 2D and 3D, are integrated in the feature space and action space. Second, visual tracking algorithms are presented to provide visual feedback via robust visual cues. 236 pp. Englisch.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Abdul Hafez Abdul HafezA. H. Abdul Hafez is an Assistant Professor at Hasan Kalyoncu University, Gaziantep, Turkey. He completed his PhD in Computer Science and Engineering (2008) from Osmania University, jointly with IIIT Hyderaba.
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Learning and Probabilistic Methods for Visual Servoing and Tracking
Language: English
Published by Scholars' Press Jun 2014, 2014
ISBN 10: 3639719204 ISBN 13: 9783639719208
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The long term dream of robotic research is to develop systems with the abilities to carry out tasks in highly complex and dynamic everyday environments like home or office. To realize this dream, it is important to improve the sensory capabilities of the robots. Vision has proved to be the most versatile sensor for robotic applications. Computer vision algorithms have successfully been used to control a variety of dynamic systems including manipulator arms, mobile robots, autonomous, and underwater vehicles. Using visual feedback to close the control loop of robot arm is now referred to as visual servoing. Visual tracking in image sequences is an important topic of research in visual servoing and general robot vision applications. Robust extraction and real-time visual tracking of visual cues is indeed one of the keys to success of a visual servoing task. This book presents visual servoing and tracking algorithms based on probabilistic and learning techniques. First, different types of information, 2D and 3D, are integrated in the feature space and action space. Second, visual tracking algorithms are presented to provide visual feedback via robust visual cues.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 236 pp. Englisch.
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Learning and Probabilistic Methods for Visual Servoing and Tracking
Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10: 3639719204 ISBN 13: 9783639719208
Condition: New. Print on Demand pp. 236 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The long term dream of robotic research is to develop systems with the abilities to carry out tasks in highly complex and dynamic everyday environments like home or office. To realize this dream, it is important to improve the sensory capabilities of the robots. Vision has proved to be the most versatile sensor for robotic applications. Computer vision algorithms have successfully been used to control a variety of dynamic systems including manipulator arms, mobile robots, autonomous, and underwater vehicles. Using visual feedback to close the control loop of robot arm is now referred to as visual servoing. Visual tracking in image sequences is an important topic of research in visual servoing and general robot vision applications. Robust extraction and real-time visual tracking of visual cues is indeed one of the keys to success of a visual servoing task. This book presents visual servoing and tracking algorithms based on probabilistic and learning techniques. First, different types of information, 2D and 3D, are integrated in the feature space and action space. Second, visual tracking algorithms are presented to provide visual feedback via robust visual cues.
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Learning and Probabilistic Methods for Visual Servoing and Tracking
Language: English
Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014
ISBN 10: 3639719204 ISBN 13: 9783639719208
Condition: New. PRINT ON DEMAND pp. 236.
