Title（演讲题目）: 3D Vision for Graphics
3D reconstruction is a fundamental problem in computer vision. This talk presents a structure-from-motion algorithm that solves the 3D reconstruction problem by a single linear equation, instead of following the conventional incremental reconstruction pipeline. Our global algorithm brings more accurate results and achieves significantly improved computational efficiency. We then address the motion ambiguity caused by repetitive image features by introducing an efficient graph-based optimization algorithm. This talk further introduces several applications of 3D vision, including image-based 3D modeling, robotics navigation, and image/video editing.
Ping Tan is an associate professor at the Department of Electrical & Computer Engineering at National University of Singapore. He received the Ph.D. degree in Computer Science & Engineering from the Hong Kong University of Science and Technology (HKUST) in 2007. Before that, he received the B.S. degree in Applied Mathematics and M.S. degree in Pattern Recognition and Intelligent System from Shanghai Jiao Tong University, China, in 2000 and 2003 respectively. Dr. Tan has served as an editorial member of the International Journal of Computer Vision (IJCV), an associate editor of the Machine Vision and Applications (MVA). He has served in the program committees of SIGGRAPH, SIGGRAPH Asia. He received the inaugural MIT TR35@Singapore award in 2012 (among 12 top innovators under 35 from Southeast Asia, India, Australia, and New Zealand), the Image and Vision Computing Outstanding Young Researcher Award Honorable Mention Award in 2012.
Copyright© 2017 同济大学软件学院