• DocumentCode
    3468298
  • Title

    Automatic seamless video mosaic from webcams using LSF techniques

  • Author

    Emmanuel, Kondela Solo ; Huang, Dong Jun

  • Author_Institution
    Dept. of Comput. Sci., Central South Univ., Changsha, China
  • fYear
    2010
  • fDate
    13-18 June 2010
  • Firstpage
    17
  • Lastpage
    24
  • Abstract
    This paper presents an automatic technique to create a wide field-of-view from common webcams. We eliminate the manual selection of corresponding pixels where no prior information is required. Our system consists of three stages: In the first stage, we detect robust features in the initial frame of each webcam and find the corresponding points between them. Then the matched point pairs are employed to compute the perspective matrix which describes the geometric relationship of the adjacent views. After the initialization stage, we register the frame sequences of different webcams on the same plane using the perspective matrix and synthesize the overlapped region using a nonlinear blending method in real time. In the third stage, due to the existence of seam artifacts, exposure differences and other misalignments along overlap region, we apply least square fitting technique to achieve a wide seamless video mosaic. We demonstrate the effectiveness of our method on a prototype that consists of two ordinary webcams and shows that this is an interesting and inexpensive way to experience the wide-angle observation.
  • Keywords
    curve fitting; feature extraction; image segmentation; image sequences; least squares approximations; video signal processing; LSF technique; Webcam; automatic seamless video mosaic; exposure difference; field-of-view; frame sequence; least square fitting; nonlinear blending; overlapped region; perspective matrix; robust feature detection; Cameras; Computer science; Computer vision; Frequency; Information science; Layout; Least squares methods; Prototypes; Registers; Robustness; image stitching; mosaic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshops (CVPRW), 2010 IEEE Computer Society Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    2160-7508
  • Print_ISBN
    978-1-4244-7029-7
  • Type

    conf

  • DOI
    10.1109/CVPRW.2010.5543789
  • Filename
    5543789