• DocumentCode
    3208240
  • Title

    High-speed videography using a dense camera array

  • Author

    Wilburn, Bennett ; Joshi, Neel ; Vaish, Vaibhav ; Levoy, Marc ; Horowitz, Mark

  • Author_Institution
    Dept. of Electr. Eng., Stanford Univ., CA, USA
  • Volume
    2
  • fYear
    2004
  • fDate
    27 June-2 July 2004
  • Abstract
    We demonstrate a system for capturing multi-thousand frame-per-second (fps) video using a dense array of cheap 30 fps CMOS image sensors. A benefit of using a camera array to capture high-speed video is that we can scale to higher speeds by simply adding more cameras. Even at extremely high frame rates, our array architecture supports continuous streaming to disk from all of the cameras. This allows us to record unpredictable events, in which nothing occurs before the event of interest that could be used to trigger the beginning of recording. Synthesizing one high-speed video sequence using images from an array of cameras requires methods to calibrate and correct those cameras´ varying radiometric and geometric properties. We assume that our scene is either relatively planar or is very far away from the camera and that the images can therefore be aligned using projective transforms. We analyze the errors from this assumption and present methods to make them less visually objectionable. We also present a new method to automatically color match our sensors. Finally, we demonstrate how to compensate for spatial and temporal distortions caused by the electronic rolling shutter, a common feature of low-end CMOS sensors.
  • Keywords
    CMOS image sensors; array signal processing; image sequences; video recording; video signal processing; CMOS image sensors; dense camera array; electronic rolling shutter; high-speed video sequence; high-speed videography; projective transforms; CMOS image sensors; Cameras; Disk recording; Error analysis; Layout; Radiometry; Sensor arrays; Streaming media; Video recording; Video sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-2158-4
  • Type

    conf

  • DOI
    10.1109/CVPR.2004.1315176
  • Filename
    1315176