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Mobile Robot Digital Landmarks Recognition and Finger Writing Maneuver - Softcover

 
9783330347632: Mobile Robot Digital Landmarks Recognition and Finger Writing Maneuver

Synopsis

This book presents an image-based mobile robot guidance system in an indoor space with installed artificial ceiling landmarks and the robot is maneuver by a vision-based fingertip-writing character recognition system. The overall system, including an omni-directional mobile robot motion control, landmark image processing and image recognition, is implemented on a single FPGA chip with one CMOS image sensor. The proposed feature representation of the artificial ceiling land-marks is invariant with respect to rotation and translation. To enhance recognition accuracy, landmark classification is performed after the mobile robot is moved to a position such that the ceiling landmark is located in the upright-top corner position of the robot’s camera image. The accuracy of the proposed artificial ceiling landmark recognition system using nearest neighbor classification is 100% in our experiments and the proposed fingertip-writing recognition system provides an easy-to-use and accurate visual character input method.

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About the Author

Ching-Long Shih received the BS and MS degrees form the National Chiao-Tung University, Hsinchu, Taiwan in 1980 and 1984, respectively, and the PhD degree in Electrical Engineering from the Ohio State University, Columbus, Ohio, USA in 1988.He is currently a Professor in the Department EE, National Taiwan University of Science and Technology.

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  • PublisherLAP LAMBERT Academic Publishing
  • Publication date2017
  • ISBN 10 3330347635
  • ISBN 13 9783330347632
  • BindingPaperback
  • LanguageEnglish
  • Number of pages56

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ISBN 10: 3330347635 ISBN 13: 9783330347632
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents an image-based mobile robot guidance system in an indoor space with installed artificial ceiling landmarks and the robot is maneuver by a vision-based fingertip-writing character recognition system. The overall system, including an omni-directional mobile robot motion control, landmark image processing and image recognition, is implemented on a single FPGA chip with one CMOS image sensor. The proposed feature representation of the artificial ceiling land-marks is invariant with respect to rotation and translation. To enhance recognition accuracy, landmark classification is performed after the mobile robot is moved to a position such that the ceiling landmark is located in the upright-top corner position of the robot's camera image. The accuracy of the proposed artificial ceiling landmark recognition system using nearest neighbor classification is 100% in our experiments and the proposed fingertip-writing recognition system provides an easy-to-use and accurate visual character input method. 56 pp. Englisch. Seller Inventory # 9783330347632

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Ching-Long Shih
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330347635 ISBN 13: 9783330347632
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book presents an image-based mobile robot guidance system in an indoor space with installed artificial ceiling landmarks and the robot is maneuver by a vision-based fingertip-writing character recognition system. The overall system, including an omni-directional mobile robot motion control, landmark image processing and image recognition, is implemented on a single FPGA chip with one CMOS image sensor. The proposed feature representation of the artificial ceiling land-marks is invariant with respect to rotation and translation. To enhance recognition accuracy, landmark classification is performed after the mobile robot is moved to a position such that the ceiling landmark is located in the upright-top corner position of the robot's camera image. The accuracy of the proposed artificial ceiling landmark recognition system using nearest neighbor classification is 100% in our experiments and the proposed fingertip-writing recognition system provides an easy-to-use and accurate visual character input method. Seller Inventory # 9783330347632

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Ching-Long Shih
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330347635 ISBN 13: 9783330347632
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Paperback. Condition: Brand New. 56 pages. 8.66x5.91x0.13 inches. In Stock. Seller Inventory # 3330347635

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Ching-Long Shih|Yu-Te Ku
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330347635 ISBN 13: 9783330347632
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shih Ching-LongChing-Long Shih received the BS and MS degrees form the National Chiao-Tung University, Hsinchu, Taiwan in 1980 and 1984, respectively, and the PhD degree in Electrical Engineering from the Ohio State University, Colum. Seller Inventory # 154587411

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