A viscosity solution method for Shape-From-Shading without image boundary data

Emmanuel Prados; Fabio Camilli; Olivier Faugeras

ESAIM: Mathematical Modelling and Numerical Analysis (2006)

  • Volume: 40, Issue: 2, page 393-412
  • ISSN: 0764-583X

Abstract

top
In this paper we propose a solution of the Lambertian shape-from-shading (SFS) problem by designing a new mathematical framework based on the notion of viscosity solution. The power of our approach is twofolds: (1) it defines a notion of weak solutions (in the viscosity sense) which does not necessarily require boundary data. Moreover, it allows to characterize the viscosity solutions by their “minimums”; and (2) it unifies the works of [Rouy and Tourin, SIAM J. Numer. Anal.29 (1992) 867–884], [Lions et al., Numer. Math.64 (1993) 323–353], [Falcone and Sagona, Lect. Notes Math.1310 (1997) 596–603], [Prados et al., Proc. 7th Eur. Conf. Computer Vision2351 (2002) 790–804; Prados and Faugeras, IEEE Comput. Soc. Press2 (2003) 826–831], based on the notion of viscosity solutions and the work of [Dupuis and Oliensis, Ann. Appl. Probab.4 (1994) 287–346] dealing with classical solutions.

How to cite

top

Prados, Emmanuel, Camilli, Fabio, and Faugeras, Olivier. "A viscosity solution method for Shape-From-Shading without image boundary data." ESAIM: Mathematical Modelling and Numerical Analysis 40.2 (2006): 393-412. <http://eudml.org/doc/249696>.

@article{Prados2006,
abstract = { In this paper we propose a solution of the Lambertian shape-from-shading (SFS) problem by designing a new mathematical framework based on the notion of viscosity solution. The power of our approach is twofolds: (1) it defines a notion of weak solutions (in the viscosity sense) which does not necessarily require boundary data. Moreover, it allows to characterize the viscosity solutions by their “minimums”; and (2) it unifies the works of [Rouy and Tourin, SIAM J. Numer. Anal.29 (1992) 867–884], [Lions et al., Numer. Math.64 (1993) 323–353], [Falcone and Sagona, Lect. Notes Math.1310 (1997) 596–603], [Prados et al., Proc. 7th Eur. Conf. Computer Vision2351 (2002) 790–804; Prados and Faugeras, IEEE Comput. Soc. Press2 (2003) 826–831], based on the notion of viscosity solutions and the work of [Dupuis and Oliensis, Ann. Appl. Probab.4 (1994) 287–346] dealing with classical solutions. },
author = {Prados, Emmanuel, Camilli, Fabio, Faugeras, Olivier},
journal = {ESAIM: Mathematical Modelling and Numerical Analysis},
keywords = {Shape-from-shading; boundary data; unification of SFS theories; singular viscosity solutions; states constraints.; states constraints},
language = {eng},
month = {6},
number = {2},
pages = {393-412},
publisher = {EDP Sciences},
title = {A viscosity solution method for Shape-From-Shading without image boundary data},
url = {http://eudml.org/doc/249696},
volume = {40},
year = {2006},
}

TY - JOUR
AU - Prados, Emmanuel
AU - Camilli, Fabio
AU - Faugeras, Olivier
TI - A viscosity solution method for Shape-From-Shading without image boundary data
JO - ESAIM: Mathematical Modelling and Numerical Analysis
DA - 2006/6//
PB - EDP Sciences
VL - 40
IS - 2
SP - 393
EP - 412
AB - In this paper we propose a solution of the Lambertian shape-from-shading (SFS) problem by designing a new mathematical framework based on the notion of viscosity solution. The power of our approach is twofolds: (1) it defines a notion of weak solutions (in the viscosity sense) which does not necessarily require boundary data. Moreover, it allows to characterize the viscosity solutions by their “minimums”; and (2) it unifies the works of [Rouy and Tourin, SIAM J. Numer. Anal.29 (1992) 867–884], [Lions et al., Numer. Math.64 (1993) 323–353], [Falcone and Sagona, Lect. Notes Math.1310 (1997) 596–603], [Prados et al., Proc. 7th Eur. Conf. Computer Vision2351 (2002) 790–804; Prados and Faugeras, IEEE Comput. Soc. Press2 (2003) 826–831], based on the notion of viscosity solutions and the work of [Dupuis and Oliensis, Ann. Appl. Probab.4 (1994) 287–346] dealing with classical solutions.
LA - eng
KW - Shape-from-shading; boundary data; unification of SFS theories; singular viscosity solutions; states constraints.; states constraints
UR - http://eudml.org/doc/249696
ER -

References

top
  1. M. Bardi and I. Capuzzo-Dolcetta, Optimal control and viscosity solutions of Hamilton-Jacobi-Bellman equations. Birkhauser, Boston (1997).  
  2. G. Barles, An approach of deterministic control problems with unbounded data. Ann. I. H. Poincaré7 (1990) 235–258.  
  3. G. Barles, Solutions de Viscosité des Equations de Hamilton–Jacobi. Springer–Verlag, Paris (1994).  
  4. G. Barles and B. Perthame, Comparison principle for Dirichlet-type Hamilton-Jacobi equations and singular perturbations of degenerated elliptic equations. Appl. Math. Opt.21 (1990) 21–44.  
  5. I. Barnes and K. Zhang, Instability of the eikonal equation and shape-from-shading. ESAIM: M2AN34 (2000) 127–138.  
  6. F. Camilli and A. Siconolfi, Maximal subsolutions for a class of degenerate Hamilton-Jacobi problems. Indiana U. Math. J.48 (1999) 1111–1132.  
  7. F. Camilli and A. Siconolfi, Nonconvex degenerate Hamilton-Jacobi equations. Math. Z.242 (2002) 1–21.  
  8. I. Capuzzo-Dolcetta and P.-L. Lions, Hamilton-Jacobi equations with state constraints. Trans. Amer. Math. Soc.318 (1990) 643–68.  
  9. F.H. Clarke, Optimization and Nonsmooth Analysis. SIAM, Classics in Applied Mathematics 5, Philadelphia (1990).  
  10. M.G. Crandall and P.-L. Lions, Viscosity solutions of Hamilton-Jacobi equations. Trans. Amer. Math. Soc.277 (1983) 1–42.  
  11. P. Dupuis and J. Oliensis, An optimal control formulation and related numerical methods for a problem in shape reconstruction. Ann. Appl. Probab.4 (1994) 287–346.  
  12. M. Falcone and M. Sagona, An algorithm for the global solution of the Shape-From-Shading model, in Proceedings of the International Conference on Image Analysis and Processing. Lect. Notes Math.1310 (1997) 596–603.  
  13. B.K. Horn and M.J. Brooks, Eds., Shape From Shading. The MIT Press (1989).  
  14. H. Ishii, A boundary value problem of the Dirichlet type for Hamilton-Jacobi equations. Ann. Scuola Norm. Sup. Pisa Cl. Sci.16 (1989) 105–135.  
  15. H. Ishii and M. Ramaswamy, Uniqueness results for a class of Hamilton-Jacobi equations with singular coefficients. Commun. Part. Diff. Eq.20 (1995) 2187–2213.  
  16. R. Kimmel, K. Siddiqi, B.B. Kimia and A. Bruckstein, Shape from shading: Level set propagation and viscosity solutions. Int. J. Comput. Vision16 (1995) 107–133.  
  17. P.-L. Lions, Generalized Solutions of Hamilton–Jacobi Equations. Res. Notes Math.69. Pitman Advanced Publishing Program, London (1982).  
  18. P.-L. Lions, E. Rouy and A. Tourin, Shape-from-shading, viscosity solutions and edges. Numer. Math.64 (1993) 323–353.  
  19. M. Malisoff, Bounded-from-below solutions of the Hamilton-Jacobi equation for optimal control problems with exit times: vanishing Lagrangians, eikonal equations, and shape-from-shading. NoDEA: Nonlinear Differ. Equ. Appl.11 (2004) 95–122.  
  20. J. Oliensis and P. Dupuis, Direct method for reconstructing shape from shading, in Proceedings of SPIE Conf. 1570 on Geometric Methods in Computer Vision (1991) 116–128.  
  21. E. Prados and O. Faugeras, Perspective shape-from-shading, and viscosity solutions, in Proceedings of the 9th International Conference on Computer Vision (Nice 2003). IEEE Comput. Soc. Press2 (2003) 826–831.  
  22. E. Prados and O. Faugeras, A generic and provably convergent shape-from-shading method for orthographic and pinhole cameras. Int. J. Comput. Vision65 (2005) 97–125.  
  23. E. Prados, O. Faugeras and E. Rouy, Shape from shading and viscosity solutions, in Proceedings of the 7th European Conference on Computer Vision (Copenhagen 2002), Springer-Verlag 2351 (2002) 790–804.  
  24. E. Prados, F. Camilli and O. Faugeras, A unifying and rigorous shape from shading method adapted to realistic data and applications. J. Math. Imaging Vis. (2006) (to appear).  
  25. E. Rouy and A. Tourin, A viscosity solutions approach to shape-from-shading. SIAM J. Numer. Anal.29 (1992) 867–884.  
  26. H.M. Soner, Optimal control with state space constraints. SIAM J. Control Optim24 (1986): Part I: 552–562, Part II: 1110–1122.  
  27. H.J. Sussmann, Uniqueness results for the value function via direct trajectory-construction methods, in Proceedings of the 42nd IEEE Conference on Decision and Control4 (2003) 3293–3298.  
  28. A. Tankus, N. Sochen and Y. Yeshurun, A new perspective [on] Shape-From-Shading, in Proceedings of the 9th International Conference on Computer Vision (Nice 2003). IEEE Comput. Soc. Press2 (2003) 862–869.  
  29. D. Tschumperlé, PDE's Based Regularization of Multivalued Images and Applications. Ph.D. Thesis, University of Nice-Sophia Antipolis (2002).  
  30. R. Zhang, P.-S. Tsai, J.-E. Cryer and M. Shah, Shape from shading: A survey. IEEE T. Pattern Anal.21 (1999) 690–706.  

NotesEmbed ?

top

You must be logged in to post comments.

To embed these notes on your page include the following JavaScript code on your page where you want the notes to appear.

Only the controls for the widget will be shown in your chosen language. Notes will be shown in their authored language.

Tells the widget how many notes to show per page. You can cycle through additional notes using the next and previous controls.

    
                

Note: Best practice suggests putting the JavaScript code just before the closing </body> tag.