Colour matching between stereo pairs of images

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Abstract

This paper outlines the process of colour matching stereo pairs of images using a disparity map as input along with the original images. We describe the functionality of a plugin developed for Nuke, which we call EyeMatch, that performs this automatic colour matching under conditions set by the user. The user is presented with various parameters to fine tune the matching process, but no prior knowledge of any of the underlying techniques is necessary. Results are produced quickly, allowing a trial-and-error based approach to fine tuning these parameters, and results are sufficiently accurate to be used in the postproduction pipeline.

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Willey, S., Willis, P., Clifford, J., & Waine, T. (2015). Colour matching between stereo pairs of images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9009, pp. 289–298). Springer Verlag. https://doi.org/10.1007/978-3-319-16631-5_22

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