Title: Challenges and Developments of Machine Vision for Practical Applications
Speaker: Professor Shengyong Chen
Abstract: This talk presents the recent developments and challenges of machine vision, including object localization, segmentation, recognition, reconstruction, representation, feature extraction, target tracking, pattern analysis, etc. The open questions in the presentation are summarized to include: Where is the object? Who is who? What is meaningful? What represents the object? What happen? All these have been studied for tens of years and all have significant progress, but they are still open to seek better solutions. Variety of examples and videos are shown in the talk.
Short Bio: Shengyong Chen received the Ph.D. degree in computer vision from City University of Hong Kong, Hong Kong, in 2003. He worked as a guest research 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 Professor in Tianjin University of Technology and Zhejiang University of Technology.
Dr. Chen is an IET Fellow and an IEEE senior member. His research interests include computer vision, image processing, and robotics. He received the National Outstanding Youth Foundation Award of NSFC. He has published over 100 scientific papers in international journals, five of which received Best Paper Awards from IEEE and IET societies.