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Lambertian Reflectance

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Computer Vision

Synonyms

Lambertian model; Lambert’s law

Related Concepts

Definition

Lambertian reflectance is a scene property that distributes the energy from any incident illumination into all viewing directions equally.

Background

Local reflectance can be defined by the four-dimensional bidirectional reflectance distribution function (BRDF), where the four dimensions are the angles for viewing direction and incident illumination. Lambertian reflectance has no dependency on viewing direction and is therefore a two-dimensional function. This simplicity has made it popular, but like all local models, it does not account for cast shadows or specularities. The Lambertian model is widely used due to both its computational tractability and its fidelity to many scenes, especially when the captured image data is of low resolution. Finally, the Lambertian model is an example of diffuse reflectance, which means it acts as a low-pass filter to incident illumination [1]....

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References

  1. Ramamoorthi R, Hanrahan P (2001) A signal-processing framework for inverse rendering. In: SIGGRAPH, Los Angeles

    Book  Google Scholar 

  2. Lambert JH (1760) Photometria sive de mensura de gratibus luminis, colorum et umbrae. Eberhard Klett, Ausberg

    Google Scholar 

  3. Horn BKP (1986) Robot vision. MIT, Cambridge

    Google Scholar 

  4. Klinker G, Shafer S, Kanade T (1990) A physical approach to color image understanding. Int J Comput Vis 4(1):7–38

    Article  Google Scholar 

  5. Oren M, Nayar SK (1995) Generalization of the lambertian model and implications for machine vision. Int J Comput Vis 14(3):227–251

    Article  Google Scholar 

  6. Belhumeur P, Kriegman D, Yuille A (1999) The bas-relief ambiguity. Int J Comput Vis 35(1):33

    Article  Google Scholar 

  7. Woodham RJ (1978) Photometric stereo. MIT AI Memo, Cambridge

    Google Scholar 

  8. Hayakawa H (1994) Photometric stereo under a light-source with arbitrary motion. J Opt Soc Am 11(11):3079

    Article  Google Scholar 

  9. Basri R, Jacobs DW (2001) Photometric stereo with general, unknown lighting. In: IEEE conference on computer vision pattern recognition (CVPR), Kauai

    Google Scholar 

  10. Nayar SK, Ikeuchi K, Kanade T (1990) Shape from interreflections. Int J Comput Vis 6(3):173–195

    Article  Google Scholar 

  11. Narasimhan SG, Nayar SK, Sun B, Koppal SJ (2005) Structured light in scattering media. In: ICCV, Beijing

    Book  Google Scholar 

  12. Clark JJ (2006) Photometric stereo with nearby planar distributed illuminants. In: CRV, Quebec City

    Book  Google Scholar 

  13. Belhumeur P, Kriegman D (1998) What is the set of images of an object under all possible illumination conditions? Int J Comput Vis 28(3):245

    Article  Google Scholar 

  14. Unger J, Wenger A, Hawkins T, Gardner A, Debevec P (2003) Capturing and rendering with incident light fields. In: EGSR, Leuven

    Google Scholar 

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Correspondence to Sanjeev J. Koppal .

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Koppal, S.J. (2021). Lambertian Reflectance. In: Computer Vision. Springer, Cham. https://doi.org/10.1007/978-3-030-03243-2_534-1

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  • DOI: https://doi.org/10.1007/978-3-030-03243-2_534-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-03243-2

  • Online ISBN: 978-3-030-03243-2

  • eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering

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