Learning Probabilistic Methods Visual by Abdul Hafez (16 results)

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  • Language: English

    Published by Scholars' Press, 2014

    3639719204 / 9783639719208

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  • Language: English

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  • Language: English

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  • Language: English

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  • Language: English

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  • Language: English

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  • Language: English

    Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014

    3639719204 / 9783639719208

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    Condition: New. pp. 236.

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    Language: English

    Published by Scholars' Press, 2014

    3639719204 / 9783639719208

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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: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.

  • Language: English

    Published by Scholars' Press, 2014

    3639719204 / 9783639719208

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  • Language: English

    Published by Scholars' Press, 2014

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  • Language: English

    Published by Scholars' Press Jun 2014, 2014

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    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.

  • Language: English

    Published by Scholars' Press, 2014

    3639719204 / 9783639719208

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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.

  • Language: English

    Published by Scholars\' Press, 2014

    3639719204 / 9783639719208

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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.

  • Language: English

    Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014

    3639719204 / 9783639719208

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    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.

  • Language: English

    Published by VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2014

    3639719204 / 9783639719208

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    Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios

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    Condition: New. PRINT ON DEMAND pp. 236.

  • Language: English

    Published by Scholars' Press Jun 2014, 2014

    3639719204 / 9783639719208

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    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.OmniScriptum SRL, Str. Armeneasca 28/1, office 1, 2012 Chisinau 236 pp. Englisch.