Abstract
In past studies, illumination effects have been proven to cause the most common problems in correspondence algorithms. In this paper, we conduct a study identifying that the residual images (i.e., differences between images and their smoothed versions) contain the important information in an image. We go on to show that this approach removes illumination artifacts between corresponding pairs of images (i.e., optical flow and stereo) using a mixture of synthetic and real-life images.
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Vaudrey, T., Klette, R. (2009). Residual Images Remove Illumination Artifacts!. In: Denzler, J., Notni, G., Süße, H. (eds) Pattern Recognition. DAGM 2009. Lecture Notes in Computer Science, vol 5748. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03798-6_48
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DOI: https://doi.org/10.1007/978-3-642-03798-6_48
Publisher Name: Springer, Berlin, Heidelberg
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