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A Comprehensive Introduction to Photometric 3D-Reconstruction

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Advances in Photometric 3D-Reconstruction

Part of the book series: Advances in Computer Vision and Pattern Recognition ((ACVPR))

Abstract

Photometric 3D-reconstruction techniques aim at inferring the geometry of a scene from one or several images, by inverting a physical model describing the image formation. This chapter presents an introductory overview of the main photometric 3D-reconstruction techniques which are shape-from-shading, photometric stereo and shape-from-polarisation.

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Notes

  1. 1.

    http://www.fluxdata.com/products/fd-1665p-imaging-polarimeter.

  2. 2.

    https://www.ricoh.com/technology/tech/051_polarization.

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Authors and Affiliations

  1. IRIT, UMR CNRS 5505, Université de Toulouse, Toulouse, France

    Jean-Denis Durou

  2. Department of Mathematics, Sapienza University of Rome, Rome, Italy

    Maurizio Falcone

  3. CNRS, GREYC Laboratory, ENSICAEN and University of Caen, Caen, France

    Yvain Quéau

  4. Department of Mathematics and Applications “Renato Caccioppoli”, Universitá degli Studi di Napoli Federico II, Naples, Italy

    Silvia Tozza

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  1. Jean-Denis Durou
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  4. Silvia Tozza
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Correspondence to Jean-Denis Durou .

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  1. IRIT, UMR CNRS 5505, University of Toulouse, Toulouse, France

    Jean-Denis Durou

  2. Department of Mathematics, Sapienza University of Rome, Rome, Italy

    Maurizio Falcone

  3. GREYC Laboratory, CNRS, Caen, France

    Yvain Quéau

  4. Department of Mathematics and Applications “Renato Caccioppoli”, University of Naples Federico II, Naples, Italy

    Silvia Tozza

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Durou, JD., Falcone, M., Quéau, Y., Tozza, S. (2020). A Comprehensive Introduction to Photometric 3D-Reconstruction. In: Durou, JD., Falcone, M., Quéau, Y., Tozza, S. (eds) Advances in Photometric 3D-Reconstruction. Advances in Computer Vision and Pattern Recognition. Springer, Cham. https://doi.org/10.1007/978-3-030-51866-0_1

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