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  • [9-5] Global Structure-from-Motion and Its Application

    文章來源:人機交互技術與智能信息處理實驗室  |  發布時間:2017-09-01  |  【打印】 【關閉

      
     
    報告題目:Global Structure-from-Motion and Its Application
    活動時間:2017年9月5號周二)上午9點30分
    活動地點:中科院軟件研究所 5號樓4層 中會議室
    演講人: 崔兆鵬 博士 (瑞士 ETH Zurich
     
    Title:Global Structure-from-Motion and Its Application
    Speaker:Zhaopeng Cui, Simon Fraser University and ETH Zurich
    Time:9:30 am, September 5, 2017
    Venue:Middle Meeting Room, Floor 4, Building 5, Institute of Software

    Abstract
           Structure-from-motion (SfM) is a fundamental problem in 3D computer vision, with the aim of recovering camera poses and 3D scene structure simultaneously given a set of 2D images. SfM methods can be broadly divided into incremental and global methods according to their ways to register cameras. Incremental methods register cameras one by one, while global SfM methods solve all cameras simultaneously from all available relative motions. As a result, global SfM has better potential in both reconstruction accuracyand computation efficiency than incremental SfM. In this talk, I will present our latest global SfM system which could deal with all kinds of camera motions and datasets. Then I will present our new robust video alignment algorithm based on global SfM,which can align videos taken at different times with substantially different appearances. At last, I will briefly discuss some other applications with SfM as well as the future work.
     
    Bio

           Zhaopeng Cui has just completed his Ph.D. at Simon Fraser University (SFU), and will be a postdoctoral researcher at ETH Zurich in September, 2017.Before joining SFU, he was a Ph.D. candidate at National University of Singapore. He received his B.Sc. (2009) and his M.Sc. (2012) from Xidian University.His research interests are concentrated in 3D computer vision and computer graphics, more specifically, in large-scale image-based 3D reconstruction,video editing, multi-view stereo and SLAM.
     
          All are welcome! 
     
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