Shih ching long (50 risultati)

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Paperback. Condizione: Brand New. 56 pages. 8.66x5.91x0.13 inches. In Stock.

Taschenbuch. Condizione: Neu. Mobile Robot Digital Landmarks Recognition and Finger Writing Maneuver | Ching-Long Shih (u. a.) | Taschenbuch | 56 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330347632 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Taschenbuch. Condizione: Neu. Robot móvil de reconocimiento digital de puntos de referencia y maniobra de escritura con los dedos | Ching-Long Shih (u. a.) | Taschenbuch | Spanisch | 2024 | Ediciones Nuestro Conocimiento | EAN 9786207884094 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

Taschenbuch. Condizione: Neu. Robot mobile : reconnaissance de points de repère numériques et man¿uvre d'écriture au doigt | Ching-Long Shih (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Französisch | 2024 | Editions Notre Savoir | EAN 9786207884100 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. Raspoznawanie cifrowyh orientirow mobil'nym robotom i manewr napisaniq pal'cem | Ching-Long Shih (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Russisch | 2024 | Sciencia Scripts | EAN 9786207884131 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. …

Taschenbuch. Condizione: Neu. Robot mobile Riconoscimento di punti di riferimento digitali e manovra di scrittura con le dita | Ching-Long Shih (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Italienisch | 2024 | Edizioni Sapienza | EAN 9786207884124 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. Reconhecimento de pontos de referência digitais e manobra de escrita com os dedos de um robô móvel | Ching-Long Shih (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Portugiesisch | 2024 | Edições Nosso Conhecimento | EAN 9786207884117 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

Taschenbuch. Condizione: Neu. Mobile Roboter zur Erkennung digitaler Landmarken und zum Schreiben mit dem Finger | Ching-Long Shih (u. a.) | Taschenbuch | 56 S. | Deutsch | 2024 | Verlag Unser Wissen | EAN 9786207884087 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condizione: 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.…

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 56 pp. Spanisch.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: New. Print on Demand.

Taschenbuch. Condizione: 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.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 56 pp. Französisch.

Condizione: New. Print on Demand.

Condizione: 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.…

Condizione: New. PRINT ON DEMAND.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Este libro presenta un sistema de guiado de robots móviles basado en imágenes en un espacio interior con puntos de referencia artificiales instalados en el techo y el robot es maniobrado por un sistema de reconocimiento de caracteres de escritura dactilar basado en la visión. El sistema global, que incluye el control de movimiento del robot móvil omnidireccional, el procesamiento de imágenes de puntos de referencia y el reconocimiento de imágenes, se implementa en un único chip FPGA con un sensor de imagen CMOS. La representación propuesta de los puntos de referencia del techo artificial es invariable con respecto a la rotación y la traslación. Para mejorar la precisión del reconocimiento, la clasificación de los puntos de referencia se realiza después de que el robot móvil se mueva a una posición tal que el punto de referencia del techo esté situado en la esquina superior vertical de la imagen de la cámara del robot. En nuestros experimentos, la precisión del sistema de reconocimiento de puntos de referencia del techo artificial propuesto mediante la clasificación del vecino más próximo es del 100%, y el sistema de reconocimiento de escritura dactilar propuesto proporciona un método de entrada de caracteres visuales fácil de usar y preciso.…

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 56 pp. Russisch.