Abstract
We present a novel approach for automatic color profiling of multiple cameras into a single RGB color space using only unordered photos of a scene as input. By performing bundle adjustment, camera poses and image features are automatically detected and used to sample RGB values of corresponding image features. Retrieved RGB values are used to model the relationship between the RGB color spaces of different cameras using linear least square fitting. After color profiling all color output is transformed into the color space of a reference camera. This greatly simplifies characterization as manual characterization steps are only needed for the reference camera.
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References
Snavely, N., Seitz, S.M., Szeliski, R.: Photo tourism: exploring photo collections in 3D. In: ACM SIGGRAPH 2006 Papers, SIGGRAPH 2006, pp. 835–846. ACM, New York (2006)
Westland, S., Ripamonti, C.: Computational colour science using MATLAB. J. Wiley, Chichester (2004)
Hung, P.C.: Colorimetric calibration in electronic imaging devices using a look-up-table model and interpolations (journal paper). Journal of Electronic Imaging 2(01), 53–61 (1993)
Hong, G., Luo, M.R., Rhodes, P.A.: A study of digital camera colorimetric characterisation based on polynomial modelling. Color Research and Application 26, 76–84 (2001)
Cheung, T.L.V., Westland, S.: Color camera characterisation using artificial neural networks. In: IS&T/SID Tenth Color Imaging Conference, pp. 117–120 (2002)
Snavely, N., Garg, R., Seitz, S.M., Szeliski, R.: Finding paths through the world’s photos. In: ACM SIGGRAPH 2008 Papers, SIGGRAPH 2008, pp. 15:1–15:11. ACM, New York (2008)
Panahpour Tehrani, M., Ishikawa, A., Sakazawa, S., Koike, A.: Iterative colour correction of multicamera systems using corresponding feature points. J. Vis. Comun. Image Represent. 21(5-6), 377–391 (2010)
Yamamoto, K., Yendo, T., Fujii, T., Tanimoto, M., Suter, D.: Color correction for multi-camera system by using correspondences. In: ACM SIGGRAPH 2006 Research Posters, SIGGRAPH 2006. ACM, New York (2006)
Lowe, D.G.: Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision 60(2), 91–110 (2004)
Stokes, M., Anderson, M., Chandrasekar, S., Motta, R.: A standard default color space for the internet - srgb. Microsoft and Hewlett-Packard Joint Report (1996)
Allen, E., Triantaphillidou, S.: The Manual of Photography and Digital Imaging. Elsevier Science (2010)
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Kölzer, K., Müller, S., Grimm, P. (2013). Automatic Color Profiling of Digital Cameras Using Unordered Photos. In: Sanches, J.M., Micó, L., Cardoso, J.S. (eds) Pattern Recognition and Image Analysis. IbPRIA 2013. Lecture Notes in Computer Science, vol 7887. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38628-2_18
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DOI: https://doi.org/10.1007/978-3-642-38628-2_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38627-5
Online ISBN: 978-3-642-38628-2
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