Three-Dimensional Vision for Intelligent Robots
August 1, 2022, Harbin
This talk presents the principle of 3D vision perception and some ongoing projects on machine vision for robots and aerial vehicles, including object localization, segmentation, recognition, reconstruction, representation, feature extraction, target tracking, pattern analysis, etc. Examples of implementation are shown with practical intelligent systems, e.g. for self-localization of the robots, planning a path for tracking a person, classification of objects in industrial production, or interpretation of traffic events.
Prof. Shengyong Chen received the Ph.D. degree from City University of Hong Kong in 2003. He worked as a guest researcher at University of Hamburg, Germany, where he received a fellowship from the Alexander von Humboldt Foundation in 2006. He was a visiting professor at Imperial College London, from 2008 to 2009. He is currently a full Professor and Vice-President in Tianjin University of Technology. He is an IET Fellow and an IEEE senior member. His research interests include machine vision and robotics. He received the National Outstanding Youth Foundation Award of NSFC. He has applied over 100 patents and published over 400 scientific papers, including 80 in IEEE Transactions, and 5 Best Paper Awards from international organizations. His work received over 12000 citations in Google Scholar.