Article Dans Une Revue Computer Vision and Image Understanding Année : 2008

Numerical Methods for Shape-from-shading: A New Survey with Benchmarks

Résumé

Many algorithms have been suggested for the shape-from-shading problem, and some years have passed since the publication of the survey paper by Zhang et al. [1]. In this new survey paper, we try to update their presentation including some recent methods which seem to be particularly representative of three classes of methods: methods based on partial differential equations, methods using optimization, and methods approximating the image irradiance equation. One of the goals of this paper is to set the comparison of these methods on a firm basis. To this end, we provide a brief description of each method, highlighting its basic assumptions and mathematical properties. Moreover, we propose some numerical benchmarks in order to compare the methods in terms of their efficiency and accuracy in the reconstruction of surfaces corresponding to synthetic, as well as to real images.

Fichier principal
Vignette du fichier
cviu_2008.pdf (2.2 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Licence

Dates et versions

hal-04587417 , version 1 (27-05-2024)

Licence

Identifiants

  • HAL Id : hal-04587417 , version 1

Citer

Jean-Denis Durou, Maurizio Falcone, Manuela Sagona. Numerical Methods for Shape-from-shading: A New Survey with Benchmarks. Computer Vision and Image Understanding, 2008, 109 (1), pp.22--43. ⟨hal-04587417⟩
124 Consultations
449 Téléchargements

Partager

  • More