• DocumentCode
    1516420
  • Title

    3D structure from 2D motion

  • Author

    Jebara, Tony ; Azarbayejani, Ali ; Pentland, Alex

  • Author_Institution
    Media Libr., MIT, Cambridge, MA, USA
  • Volume
    16
  • Issue
    3
  • fYear
    1999
  • fDate
    5/1/1999 12:00:00 AM
  • Firstpage
    66
  • Lastpage
    84
  • Abstract
    This article motivates the structure from motion (SfM) approaches by describing some current practical applications. This is followed by a brief discussion of the background of the field. Then, several techniques are outlined that show various important approaches and paradigms to the SfM problem. Critical issues, advantages and disadvantages are pointed out. Subsequently, we present our SfM approach for recursive estimation of motion, structure, and camera geometry in a nonlinear dynamic system framework. Results are given for synthetic and real images. These are used to assess the accuracy and stability of the technique. We then discuss some practical and real-time applications we have encountered and the reliability and flexibility of the approach in those settings. Finally, we conclude with results from an independent evaluation study conducted by industry where the proposed SfM algorithm compared favorably to alternative approaches
  • Keywords
    image matching; image motion analysis; image reconstruction; image sequences; video signal processing; 2D motion; 3D structure; camera geometry; nonlinear dynamic system framework; real-time applications; recursive estimation; structure from motion; synthetic images; Application software; Artificial intelligence; Cameras; Computational geometry; Computer vision; Facial animation; Head; Layout; Learning; Tracking;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/79.768574
  • Filename
    768574