Abstract
We present a new method to day and night image stitching and rendering for exploring the space-time continuum within a two-dimensional still photograph. Our method is based on a two-scale decomposition of the input images. Homography matrix is calculated by matching feature points of detail layer pairs, which can avoid impact of illumination. Then detail layers and base layers are stitched together, respectively. We mapped the stitched base layer to a radiance map and then rendered it as time-lapse effect based on human vision system. Compared with previous method, our method is easier to implement and has a larger viewing angle.
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Pan, JS., Liang, L., Hung, MH., Zhuang, Y. (2018). Day and Night Image Stitching and Rendering. In: Krömer, P., Alba, E., Pan, JS., Snášel, V. (eds) Proceedings of the Fourth Euro-China Conference on Intelligent Data Analysis and Applications. ECC 2017. Advances in Intelligent Systems and Computing, vol 682. Springer, Cham. https://doi.org/10.1007/978-3-319-68527-4_3
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DOI: https://doi.org/10.1007/978-3-319-68527-4_3
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