A Comprehensive Introduction to Photometric 3D-reconstruction

Jean-Denis Durou (1) , Maurizio Falcone (2) , Yvain Quéau (3) , Silvia Tozza (4)

1 IRIT-REVA - Real Expression Artificial Life
2 UNIROMA - Università degli Studi di Roma "La Sapienza" = Sapienza University [Rome]
3 Equipe Image - Laboratoire GREYC - UMR6072
4 University of Naples Federico II = Università degli studi di Napoli Federico II

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 pho-tometric 3D-reconstruction techniques which are shape-from-shading, photometric stereo and shape-from-polarisation.

Domains: Computer Science [cs]; Computer Vision and Pattern Recognition [cs.CV]

Jean-Denis Durou, Maurizio Falcone, Yvain Quéau, Silvia Tozza. A Comprehensive Introduction to Photometric 3D-reconstruction. Durou, Jean-Denis; Falcone, Maurizio; Queau, Yvain; Tozza, Silvia. Advances in Photometric 3D-Reconstruction, Springer International Publishing, pp.1--29, 2020, Advances in Computer Vision and Pattern Recognition, ⟨10.1007/978-3-030-51866-0_1⟩. ⟨hal-02547952⟩