Shape optimization in contact problems. Approximation and numerical realization
J. Haslinger, P. Neittaanmäki (1987)
ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique
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Displaying similar documents to “Instability of the eikonal equation and shape from shading”
Shape optimization in contact problems. Approximation and numerical realization
About stability of equilibrium shapes
Marc Dambrine, Michel Pierre (2000)
ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique
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A uniqueness result in the theory of stereo vision : coupling shape from shading and binocular information allows unambiguous depth reconstruction
Antonin Chambolle (1994)
Annales de l'I.H.P. Analyse non linéaire
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Some new results in multiphase geometrical optics
Olof Runborg (2000)
ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique
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Fictitious domain/mixed finite element approach for a class of optimal shape design problems
Jaroslav Haslinger, Anders Klarbring (1995)
ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique
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Control/fictitious domain method for solving optimal shape design problems
J. Haslinger, K.-H. Hoffmann, M. Kočvara (1993)
ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique
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Numerical algorithms for perspective shape from shading
Michael Breuss, Emiliano Cristiani, Jean-Denis Durou, Maurizio Falcone, Oliver Vogel (2010)
Kybernetika
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The Shape-From-Shading (SFS) problem is a fundamental and classic problem in computer vision. It amounts to compute the 3-D depth of objects in a single given 2-D image. This is done by exploiting information about the illumination and the image brightness. We deal with a recent model for Perspective SFS (PSFS) for Lambertian surfaces. It is defined by a Hamilton–Jacobi equation and complemented by state constraints boundary conditions. In this paper we investigate and compare three...