• DocumentCode
    3051417
  • Title

    Efficient bundle adjustment with virtual key frames: a hierarchical approach to multi-frame structure from motion

  • Author

    Shum, Heung-Yeung ; Ke, Qifa ; Zhang, Zhengyou

  • Author_Institution
    Microsoft Res., Beijing, China
  • Volume
    2
  • fYear
    1999
  • fDate
    1999
  • Abstract
    In this paper we present an efficient hierarchical approach to structure from motion for long image sequences. There are two key elements to our approach: accurate 3D reconstruction for each segment and efficient bundle adjustment for the whole sequence. The image sequence is first divided into a number of segments so that feature points can be reliably tracked across each segment. Each segment has a long baseline to ensure accurate 3D reconstruction. To efficiently bundle adjust 3D structures from ail segments, we reduce the number of frames in each segment by introducing “virtual keyframes”. The virtual frames encode the 3D structure of each segment along with its uncertainty but they form a small subset of the original frames. Our method achieves significant speedup over conventional bundle adjustment methods
  • Keywords
    image reconstruction; image sequences; motion estimation; 3D reconstruction; bundle adjustment; feature points; hierarchical approach; image sequences; multi-frame structure from motion; virtual key frames; Cameras; Image motion analysis; Image reconstruction; Image segmentation; Image sequences; Nonlinear optics; Optical variables control; Partial response channels; Photometry; Robot vision systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1999. IEEE Computer Society Conference on.
  • Conference_Location
    Fort Collins, CO
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-0149-4
  • Type

    conf

  • DOI
    10.1109/CVPR.1999.784733
  • Filename
    784733