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Radiometric Calibration

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References

  1. Chang Y-C, Reid JF (1996) Rgb calibration for color image analysis in machine vision. IEEE Trans Image Process 5(10):1414–1422

    Article  Google Scholar 

  2. Debevec P, Malik J (1997) Recovering high dynamic range radiance maps from photographs. In: Proceedings of ACM SIGGRAPH. Association for Computing Machinery, New York, pp 369–378

    Google Scholar 

  3. Grossberg M, Nayar S (2003) Determining the camera response from images: what is knowable? IEEE Trans Pattern Anal Mach Intell 25(11):1455–1467

    Article  Google Scholar 

  4. Grossberg M, Nayar S (2003) What is the space of camera response functions? In: Proceedings of computer vision and pattern recognition (CVPR). IEEE Computer Society, Los Alamitos, pp 602–609

    Google Scholar 

  5. Kim S-J, Pollefeys M (2004) Radiometric alignment of image sequences. In: Proceedings of computer vision and pattern recognition (CVPR). IEEE Computer Society, Los Alamitos, pp 645–651

    Google Scholar 

  6. Lin S, Gu J, Yamazaki S, Shum H-Y (2004) Radiometric calibration from a single image. In: Proceedings of computer vision and pattern recognition (CVPR). IEEE Computer Society, Los Alamitos, pp 938–945

    Google Scholar 

  7. Lin S, Zhang L (2005) Determining the radiometric response function from a single grayscale image. In: Proceedings of computer vision and pattern recognition (CVPR). IEEE Computer Society, Los Alamitos, pp 66–73

    Google Scholar 

  8. Litvinov A, Schechner YY (2005) Addressing radiometric nonidealities: a unified framework. In: Proceedings of computer vision and pattern recognition (CVPR). IEEE Computer Society, Los Alamitos, pp 52–59

    Google Scholar 

  9. Mann S (2001) Comparametric imaging: estimating both the unknown response and the unknown set of exposures in a plurality of differently exposed images. In: Proceedings of computer vision and pattern recognition (CVPR). IEEE Computer Society, Los Alamitos, pp 842–849

    Google Scholar 

  10. Mann S, Picard RW (1995) On being 'undigital' with digital cameras: extending dynamic range by combining differently exposed pictures. In: Proceedings of the IS & T, 48th annual conference. The Society for Imaging Science and Technology, Springfield, pp 422–428

    Google Scholar 

  11. Matsushita Y, Lin S (2007) Radiometric calibration from noise distributions. In: Proceedings of computer vision and pattern recognition (CVPR). IEEE Computer Society, Piscataway, pp 1–8

    Google Scholar 

  12. Mitsunaga T, Nayar S (1999) Radiometric self-calibration. In: Proceedings of computer vision and pattern recognition (CVPR). IEEE Computer Society, Los Alamitos, pp 374–380

    Google Scholar 

  13. Nayar S, Mitsunaga T (2000) High dynamic range imaging: spatially varying pixel exposures. In: Proceedings of computer vision and pattern recognition (CVPR). IEEE Computer Society, Los Alamitos, pp 472–479

    Google Scholar 

  14. Pal C, Szeliski R, Uyttendale M, Jojic N (2004) Probability models for high dynamic range imaging. In: Proceedings of computer vision and pattern recognition (CVPR). IEEE Computer Society, Los Alamitos, pp 173–180

    Google Scholar 

  15. Shi B, Matsushita Y, Wei Y, Xu C, Tan P (2010) Self-calibrating photometric stereo. In: Proceedings of computer vision and pattern recognition (CVPR). IEEE, New York, pp 1118–1125

    Google Scholar 

  16. Takamatsu J, Matsushita Y, Ikeuchi K (2008) Estimating camera response functions using probabilistic intensity similarity. In: Proceedings of computer vision and pattern recognition (CVPR). IEEE Computer Society, Piscataway, pp 1–8

    Google Scholar 

  17. Takamatsu J, Matsushita Y, Ikeuchi K (2008) Estimating radiometric response functions from image noise variance. In: Proceedings of European conference on computer vision (ECCV). Springer, Berlin, pp 623–637

    Google Scholar 

  18. Tsin Y, Ramesh V, Kanade T (2001) Statistical calibration of ccd imaging process. In: Proceedings of international conference on computer vision (ICCV). IEEE Computer Society, Los Alamitos, pp 480–487

    Google Scholar 

  19. Wilburn B, Xu H, Matsushita Y (2008) Radiometric calibration using temporal irradiance mixtures. In: Proceedings of computer vision and pattern recognition (CVPR). IEEE Computer Society, Piscataway

    Google Scholar 

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Matsushita, Y. (2014). Radiometric Calibration. In: Ikeuchi, K. (eds) Computer Vision. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-31439-6_522

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