Computer Vision Three Dimensional Hand by Liu Chris (3 results)

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    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2010

      3838309413 / 9783838309415

      • Softcover

      Seller: preigu, Osnabrück, Germanypreigu

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      Taschenbuch. Condition: Neu. Computer Vision | Three-Dimensional Hand Tracking and Surface-Geometry Measurement for a Robot-Vision System | Chris Yu-Liang Liu | Taschenbuch | 92 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838309415 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

    • Language: English

      Published by LAP Lambert Academic Publishing, 2009

      3838309413 / 9783838309415

      • Softcover

      Seller: Mispah books, Redhill, SURRE, United KingdomMispah books

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      paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

    • Language: English

      Published by LAP LAMBERT Academic Publishing, 2009

      3838309413 / 9783838309415

      • Softcover
      • Print on Demand

      Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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      Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book describes the design, implementation, calibration and testing of two vision systems of a robot-vision system for a service robot to recognize objects and perform object-related tasks from task guidance and demonstration provided by a general user. First, real-time tracking of a human hand is achieved using images acquired from three calibrated synchronized cameras. Hand pose is determined from positions of physical markers and input to the robot system in real-time. Second, a multi-line laser camera range sensor is mounted on a robot end-effector to provide 3D geometry information about objects in the robot environment. The laser-camera sensor includes two cameras to provide stereo vision. For hand tracking, a novel score-based hand tracking scheme is presented employing dynamic multi-threshold marker detection, stereo camera-pair utilization scheme, marker matching and labeling using epipolar geometry and hand pose axis analysis, to enable real-time hand tracking under occlusion and non-uniform lighting environments. For surface-geometry measurement, two different approaches are analyzed for 2D to 3D coordinate mapping, using Bezier surface fitting and neural networks.