Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 613999635X ISBN 13: 9786139996353
Language: English
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New.
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 613999635X ISBN 13: 9786139996353
Language: English
Seller: Revaluation Books, Exeter, United Kingdom
£ 56.83
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Add to basketPaperback. Condition: Brand New. 72 pages. 8.66x5.91x0.17 inches. In Stock.
Published by LAP LAMBERT Academic Publishing Jan 2019, 2019
ISBN 10: 613999635X ISBN 13: 9786139996353
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Add to basketTaschenbuch. Condition: Neu. Neuware -Computerization of Digital Art is a technology which is used to identify human gestures with the help of mathematical algorithms. Computerization of Digital Art recognizes the hand, tracks the hand movements and also provides information about hand position orientation and flux of the fingers. The colour markers are placed at the tip of the user fingers. This helps the webcam to identify the movement of hand and the gesture recognition. The image is obtained as an output by eliminating the unwanted background into black and the essential part into white using the hand gesture movement. In addition, it performs the better functions with the help of camera rather than using the mouse or touch screen to take the control over the cursors. The movement of cursor is also controlled by the hand gesture.Books on Demand GmbH, Überseering 33, 22297 Hamburg 72 pp. Englisch.
Published by LAP LAMBERT Academic Publishing Jan 2019, 2019
ISBN 10: 613999635X ISBN 13: 9786139996353
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Computerization of Digital Art is a technology which is used to identify human gestures with the help of mathematical algorithms. Computerization of Digital Art recognizes the hand, tracks the hand movements and also provides information about hand position orientation and flux of the fingers. The colour markers are placed at the tip of the user fingers. This helps the webcam to identify the movement of hand and the gesture recognition. The image is obtained as an output by eliminating the unwanted background into black and the essential part into white using the hand gesture movement. In addition, it performs the better functions with the help of camera rather than using the mouse or touch screen to take the control over the cursors. The movement of cursor is also controlled by the hand gesture. 72 pp. Englisch.
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 613999635X ISBN 13: 9786139996353
Language: English
Seller: Majestic Books, Hounslow, United Kingdom
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Add to basketCondition: New. Print on Demand.
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 613999635X ISBN 13: 9786139996353
Language: English
Seller: Biblios, Frankfurt am main, HESSE, Germany
Condition: New. PRINT ON DEMAND.
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 613999635X ISBN 13: 9786139996353
Language: English
Seller: moluna, Greven, Germany
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Add to basketCondition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Srinivasan DhivyaDhivya Srinivasan - Assistant Professor, Department of Computer Science and Engineering, Avinashilingam Institute for Home Science and Higher Education for Women, School of Engineering.Computerization of Digital .
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 613999635X ISBN 13: 9786139996353
Language: English
Seller: AHA-BUCH GmbH, Einbeck, Germany
£ 36.44
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Computerization of Digital Art is a technology which is used to identify human gestures with the help of mathematical algorithms. Computerization of Digital Art recognizes the hand, tracks the hand movements and also provides information about hand position orientation and flux of the fingers. The colour markers are placed at the tip of the user fingers. This helps the webcam to identify the movement of hand and the gesture recognition. The image is obtained as an output by eliminating the unwanted background into black and the essential part into white using the hand gesture movement. In addition, it performs the better functions with the help of camera rather than using the mouse or touch screen to take the control over the cursors. The movement of cursor is also controlled by the hand gesture.