• DocumentCode
    1723145
  • Title

    Composition Context Photography

  • Author

    Vaquero, Daniel ; Turk, Matthew

  • fYear
    2015
  • Firstpage
    649
  • Lastpage
    656
  • Abstract
    Cameras are becoming increasingly aware of the picture-taking context, collecting extra information around the act of photographing. This contextual information enables the computational generation of a wide range of enhanced photographic outputs, effectively expanding the imaging experience provided by consumer cameras. Computer vision and computational photography techniques can be applied to provide image composites, such as panoramas, high dynamic range images, and stroboscopic images, as well as automatically selecting individual alternative frames. Our technology can be integrated into point-and shoot cameras, and it effectively expands the photographic possibilities for casual and amateur users, who often rely on automatic camera modes.
  • Keywords
    computer vision; photography; automatic camera modes; composition context photography; computational generation; computational photography techniques; computer vision; high dynamic range images; image composites; panoramas; picture-taking context; point-and shoot cameras; stroboscopic images; Cameras; Context; Dynamic range; Image sensors; Photography; Sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applications of Computer Vision (WACV), 2015 IEEE Winter Conference on
  • Conference_Location
    Waikoloa, HI
  • Type

    conf

  • DOI
    10.1109/WACV.2015.92
  • Filename
    7045946