Andere Kunden interessierten sich auch für
![Implementation of Hiding Secured Finger Print]( "Implementation of Hiding Secured Finger Print")
Implementation of Hiding Secured Finger Print29,99 €![Mobile Roboter zur Erkennung digitaler Landmarken und zum Schreiben mit dem Finger]( "Mobile Roboter zur Erkennung digitaler Landmarken und zum Schreiben mit dem Finger")
Mobile Roboter zur Erkennung digitaler Landmarken und zum Schreiben mit dem Finger28,90 €![Dexterous Finger Movement Analysis Using EM Motion Capture System]( "Dexterous Finger Movement Analysis Using EM Motion Capture System")
Dexterous Finger Movement Analysis Using EM Motion Capture System32,99 €![Automatic Finger Print Identification System]( "Automatic Finger Print Identification System")
Automatic Finger Print Identification System26,99 €![Spacecraft Maneuver with Performance Guaranteed]( "Spacecraft Maneuver with Performance Guaranteed")
Spacecraft Maneuver with Performance Guaranteed117,99 €![Spacecraft Maneuver with Performance Guaranteed]( "Spacecraft Maneuver with Performance Guaranteed")
Spacecraft Maneuver with Performance Guaranteed117,99 €![Hardware Implementation of Digital Watermarking for Real Time Video]( "Hardware Implementation of Digital Watermarking for Real Time Video")
Hardware Implementation of Digital Watermarking for Real Time Video23,99 €
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.