Peng Shaowu


Peng Shaowu, Eng.D. of Model Identification and Intelligent Systems Engineering, is a lecturer. He has long been engaged in the research work in the field of computer vision. His current research interests include motion tracking, object recognition, semantic analysis and scene modeling. He presided over and participated in subjects including infrared pedestrian recognition on road, orthodontic tracking, recognition and 3D simulation, semantic SLAM and 3D modeling, and remote sensing image interpretation. He lectures on undergraduate and postgraduate courses such as Compilation Technology, Computer Vision, and Pattern Recognition. Students who are interested in computer vision and pattern recognition research are welcome to join their team.