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Colour Matching Between Stereo Pairs of Images

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Computer Vision - ACCV 2014 Workshops (ACCV 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9009))

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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 post-production pipeline.

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Notes

  1. 1.

    Box Office Mojo 2012 Worldwide Grosses: http://www.boxofficemojo.com/yearly/chart/?view2=worldwide&yr=2012.

  2. 2.

    Box Office Mojo 2013 Worldwide Grosses: http://www.boxofficemojo.com/yearly/chart/?view2=worldwide&yr=2013.

  3. 3.

    The Foundry: Nuke 8.0. (2013) Software available at http://www.thefoundry.co.uk/products/nuke-product-family/.

References

  1. Lucas, B.D., Kanade, T., et al.: An iterative image registration technique with an application to stereo vision. In: IJCAI 81, pp. 674–679 (1981)

    Google Scholar 

  2. Shibata, T., Kim, J., Hoffman, D.M., Banks, M.S.: The zone of comfort: predicting visual discomfort with stereo displays. J. Vis. 11, 11 (2011)

    Article  Google Scholar 

  3. Pitié, F., Kokaram, A.C., Dahyot, R.: Automated colour grading using colour distribution transfer. Comput. Vis. Image Underst. 107, 123–137 (2007)

    Article  Google Scholar 

  4. Grundland, M., Dodgson, N.A: Color histogram specification by histogram warping. Electron. Imaging Int. Soc. Opt. Photonics, 610–621(2005)

    Google Scholar 

  5. Pouli, T., Reinhard, E.: Progressive histogram reshaping for creative color transfer and tone reproduction. In: Proceedings of the 8th International Symposium on Non-Photorealistic Animation and Rendering, pp. 81–90 (2010)

    Google Scholar 

  6. HaCohen, Y., Shechtman, E., Goldman, D.B., Lischinski, D.: Optimizing color consistency in photo collections. ACM Trans. Graph. 32, 38 (2013)

    Article  Google Scholar 

  7. Bonneel, N., Sunkavalli, K., Paris, S., Pfister, H.: Example-based video color grading. ACM Trans. Graph. 32, 2 (2013)

    Article  Google Scholar 

  8. Reinhard, E., Adhikhmin, M., Gooch, B., Shirley, P.: Color transfer between images. IEEE Comput. Graphics Appl. 21, 34–41 (2001)

    Article  Google Scholar 

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Acknowledgments

We would like to thank Engineering and Physical Sciences Research Council for funding this research. Many thanks to Darren Cosker, Paul Hogbin, Oliver James and Alexandros Gouvatsos for useful feedback and guidance.

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Correspondence to Stephen Willey .

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© 2015 Springer International Publishing Switzerland

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Willey, S., Willis, P., Clifford, J., Waine, T. (2015). Colour Matching Between Stereo Pairs of Images. In: Jawahar, C., Shan, S. (eds) Computer Vision - ACCV 2014 Workshops. ACCV 2014. Lecture Notes in Computer Science(), vol 9009. Springer, Cham. https://doi.org/10.1007/978-3-319-16631-5_22

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  • DOI: https://doi.org/10.1007/978-3-319-16631-5_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16630-8

  • Online ISBN: 978-3-319-16631-5

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