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    • 27-Issue 2
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    Viewfinder Alignment

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    Date
    2008
    Author
    Adams, Andrew
    Gelfand, Natasha
    Pulli, Kari
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    Abstract
    The viewfinder of a digital camera has traditionally been used for one purpose: to display to the user a preview of what is seen through the camera s lens. High quality cameras are now available on devices such as mobile phones and PDAs, which provide a platform where the camera is a programmable device, enabling applications such as online computational photography, computer vision-based interactive gaming, and augmented reality. For such online applications, the camera viewfinder provides the user s main interaction with the environment. In this paper, we describe an algorithm for aligning successive viewfinder frames. First, an estimate of inter-frame translation is computed by aligning integral projections of edges in two images. The estimate is then refined to compute a full 2D similarity transformation by aligning point features. Our algorithm is robust to noise, never requires storing more than one viewfinder frame in memory, and runs at 30 frames per second on standard smartphone hardware. We use viewfinder alignment for panorama capture, low-light photography, and a camera-based game controller.
    BibTeX
    @article {10.1111:j.1467-8659.2008.01157.x,
    journal = {Computer Graphics Forum},
    title = {{Viewfinder Alignment}},
    author = {Adams, Andrew and Gelfand, Natasha and Pulli, Kari},
    year = {2008},
    publisher = {The Eurographics Association and Blackwell Publishing Ltd},
    ISSN = {1467-8659},
    DOI = {10.1111/j.1467-8659.2008.01157.x}
    }
    URI
    http://dx.doi.org/10.1111/j.1467-8659.2008.01157.x
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    • 27-Issue 2
    • Full Papers 2008 - CGF 27-Issue 2

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    System hosted at  Graz University of Technology.
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