报告题目：3D Reconstruction for Object Modeling and Scene Analysis
Report Summary：3D reconstruction is an important field in computer vision, and results accumulated in the field have found wide applications in virtual reality, creative media design, and robotics. But nevertheless, we still face great challenges when we try to use the techniques in modeling both objects with complex structures or large-scale scenes. The major difficulties come from several constraints in traditional approaches, including ambiguity and uncertainty inherent in the reconstruction algorithms, limitation on viewpoint movements, occlusion of objects, and low-resolutions of available 3D data. In the talk, I will introduce some newly developed methods aiming to solve the problems by making good use of imaging geometry principles and fusion of data from different sensors. Main topics include: reconstruction from silhouettes from a camera system with two planar mirrors; depth image super-resolution based on similarity-aware patchwork assembly. I also will report results from an application of such 3D digitization techniques in heritage documentation, mainly for grotto objects and scenes.
Brief Biography:Hongbin Zha received PhD degree in electrical engineering from Kyushu University, Japan, in 1990. After working as a research associate at Kyushu Institute of Technology, he joined Kyushu University in 1991 as an associate professor. He was also a visiting professor in the Centre for Vision, Speech, and Signal Processing, Surrey University, Unite Kingdom, in 1999. Since 2000, he has been a professor at the Key Lab on Machine Perception (MOE), Peking University, China. His research interests include computer vision, pattern recognition, and human-machine interactions. He has published more than 300 technical publications in journals, books, and international conference proceedings. He received the Franklin V. Taylor Award from the IEEE Systems, Man, and Cybernetics Society in 1999, and Best Paper Awards in Euromed 2010.