15 October 2012 Light field optical flow for refractive surface reconstruction
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Abstract
This paper discusses a method to reconstruct a transparent ow surface from single camera shot with the aid of a Micro-lens array. An intentionally prepared high frequency background which is placed behind the refractive flow is captured and a curl-free optical flow algorithm is applied between pairs of images taken by different micro-lenses. The computed raw optical ow vector is a blend of motion parallax and background deformation vector due to the underlying flow. Subtracting the motion parallax, which is obtained by calibration, from the total op- optical flow vector yields the background deformation vector. The deflection vectors on each images are used to reconstruct the flow profile. A synthetic data set of fuel injection was used to evaluate the accuracy of the proposed algorithm and good agreement was achieved between the test and reconstructed data. Finally, real light field data of hot air created by a lighter flame is used to reconstruct and show a hot air plume surface.
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Emishaw Iffa, Emishaw Iffa, Gordon Wetzstein, Gordon Wetzstein, Wolfgang Heidrich, Wolfgang Heidrich, } "Light field optical flow for refractive surface reconstruction", Proc. SPIE 8499, Applications of Digital Image Processing XXXV, 84992H (15 October 2012); doi: 10.1117/12.981608; https://doi.org/10.1117/12.981608
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