Skip to Main content Skip to Navigation
Book sections

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
IRIT - Institut de recherche en informatique de Toulouse
3 Equipe Image - Laboratoire GREYC - UMR6072
GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen
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 pho-tometric 3D-reconstruction techniques which are shape-from-shading, photometric stereo and shape-from-polarisation.
Complete list of metadatas

Cited literature [136 references]  Display  Hide  Download

https://hal-normandie-univ.archives-ouvertes.fr/hal-02547952
Contributor : Yvain Queau <>
Submitted on : Monday, April 20, 2020 - 1:54:02 PM
Last modification on : Wednesday, October 14, 2020 - 3:42:02 AM

File

main_Chapter_1.pdf
Files produced by the author(s)

Identifiers

Citation

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⟩

Share

Metrics

Record views

177

Files downloads

413