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    Indexing and selection of well-lit details in underwater video using vignetting estimation

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    Creating Underwater Video ...
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    Author
    Sooknanan, K.
    Kokaram, A.
    Corrigan, D.
    Wilson, J.
    Harte, N.
    Keyword
    UWTV
    vignetting
    Video
    Nephrops norvegicus
    Date
    2012
    Publisher
    IEEE
    
    Metadata
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    Abstract
    Video is an important tool in underwater surveys today, yet its useful field of view is restricted to image details within well lit regions on the seafloor. In this paper we present a novel vignetting-based weighting scheme for selecting these well lit details for use in the creation of a wide area view (mosaic) of the surveyed seafloor. Apart from this detail selection novelity,two other contributions are made. Firstly, because some of these scenes contain very little image texture, we introduce a hybrid homography estimation procedure that uses both feature-based and exhaustive searching techniques. Secondly, to facilitate cross referencing with the video, sections of the mosaic were indexed with the frame number in which the respective image details was selected from. We test our algorithm with real seabed survey video, whose scientific mission was population census of the particular species of lobster, Nephrops norvegicus. High quality mosaics were obtained that captured image details from well lit regions of the scene, which expert marine biologists agreed was a useful analysis tool. This work was supported by the Science Foundation Ireland PI Programme: SFI-PI 08/IN.1/I2112, and was done in collaboration with the Marine Institute Galway.
    URI
    http://hdl.handle.net/10793/945
    Citation
    Sooknanan, K., Kokaram, A., Corrigan, D., Wilson, J. and Harte, N. 2013. Indexing and selection of well-lit details in underwater video using vignetting estimation. IEEE International Conference on Oceans (OCEANS 2012) in Yeosu, May 2012, pp. 1–7. IEEE
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