[Legacy Report] Active Visual Sensing for 3D Measurement and Tracking

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Abstract:

Visual sensing is important to many engineering applications including 3D measurements for industrial automation and robotics. Efficient measurement and reconstruction of a 3D object requires a suitable vision system setting and view point planning strategy. In this talk, I will present our work on active vision and view planning using our active vision system which is reconfigurable. With the recalibration method developed, the system parameters can be calibrated automatically whenever the configuration of the system is changed during a measurement task. Such recalibration requires only a single image of the scene, allowing the 3D measurement and reconstruction to be performed online without interruption, making it adaptable to the measurement environment. Using the active vision system, we investigated issues in multi-view visual measurement, and tracking tasks for robotic applications.
About the Speaker:

You-Fu Li received the B.S. and M.S. degrees in electrical engineering from Harbin Institute of Technology China. He obtained the PhD degree in robotics from the Department of Engineering Science, University of Oxford in 1993. From 1993 to 1995 he was a postdoctoral research staff in the Department of Computer Science at the University of Wales, Aberystwyth, UK. He joined City University of Hong Kong in 1995 and is currently professor in the Department of Mechanical and Biomedical Engineering. His research interests include robot sensing, robot vision, visual sensing and visual tracking. He has served as an associate editor of IEEE Transactions on Automation Science and Engineering (T-ASE) and is currently serving as Associate Editor of IEEE Robotics and Automation Magazine (RAM) and Editor for CEB, IEEE International Conference on Robotics and Automation (ICRA).

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