Shape from shading under various imaging conditions

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2007, Pages

  Ahmed, Abdelrehim H ^a   Farag, Aly A ^a  

^a University of Louisville

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; LIGHT SOURCES; PARTIAL DIFFERENTIAL EQUATIONS; REFLECTION;

LAMBERTIAN SURFACES; ORTHOGRAPHIC PROJECTION; SFS LITERATURE;

IMAGING SYSTEMS;

EID: 34948860577     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2007.383286     Document Type: Conference Paper

References (23)

1. A. H. Ahmed and A. A. Farag. A new formulation for shape from shading for non-lambertian surfaces. In International Conference on Computer Vision and Pattern Recognition CVPR06, pages 1817-1824, NY, USA, 2006.
2. M. Born and E. Wolf. Principle of Optics. Pergamon, New York, 1970.
3. J.-D. Durou, M. Falcone, and M. Sagona. A survey of numerical methods for shape from shading. 2004-2-r, Institut de Recherche en Informatique de Toulouse (IRIT), 2004.
4. R. Frankot and R. Chellappa. A method for enforcing integrability in shape from shading algorithms. IEEE Trans. on Pattern Analysis and Machine Intelligence, 10(4):439-451, 1988.
5. B. Horn. Shape from Shading: A Method for Obtaining the Shape of a Smooth Opaque Object from One View. PhD thesis, Massachusetts Inst. of Technology, Cambridge, Massachusetts, 1970.
6. B. Horn. Obtaining shape from shading information. In P. H. Winston, editor, The Psychology of Computer Vision, chapter 4, pages 115-155. McGraw-Hill, New York, 1975.
7. C. Y. Kao, S. Osher, and J. Qian. Lax-friedrichs sweeping scheme for static hamilton-jacobi equations. Journal of Computational Physics, 196(1):367-391, 2004.
8. K. M. Lee and C.-C. J. Kuo. Shape from shading with a generalized reflectance map model. Comput. Vis. Image Underst., 67(2):143-160, 1997.
9. T. Okatani and K. Deguchi. Shape reconstruction from an endoscope image by shape from shading techniques for a point light source at the projection center. Computer Vision and Image Understanding, 66(2):119-131, 1997.
10. M. Oren and S. Nayar. Generalization of the lambertian model and implications for machine vision. International Journal of Computer Vision, 14(3):227-251, 1995.
11. A. Pentland. Local shading analysis. IEEE Trans. on Pattern Analysis and Machine Intelligence, 6(2):170-187, 1984.
12. B. T. Phong. Illumination for computer generated pictures. Commun. ACM, 18(6):311-317, 1975.
13. E. Prados and O. Faugeras. Unifying approaches and removing unrealistic assumptions in shape from shading: Mathematics can help. In European Conference on Computer Vision ECCV04, Prague,Czech Republic, May 2004.
14. E. Prados and O. Faugeras. Shape from shading: a well-posed problem? In International Conference on Computer Vision and Pattern Recognition CVPR05, San Diego, CA, USA, June 2005.
15. E. Prados, O. Faugeras, and F. Camilli. Shape from shading: a well-posed problem ? RR 5297, INRIA Research, Aug. 2004.
16. H. Ragheb and E. Hancock. Surface normals and height from non-lambertian image data. In Second International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT04), Greece, 2004.
17. E. Rouy and A. Tourin. A viscosity solutions approach to shape from shading. SIAM J. Numerical Analysis, 29(3):867-884, 1992.
18. D. Samaras and D. Metaxas. Incorporating illumination constraints in deformable models for shape from shading and light direction estimation. IEEE Trans. Pattern Anal. Mach. Intell., 25(2):241-264, 2003.
19. P. Tsai and M. Shah. Shape from shading using linear approximation. Image and Vision Computing J., 12(8):487-498, 1994.
20. G. J. Ward. Measuring and modeling anisotropic reflection. In Proceedings of the 19th annual conference on Computer graphics and interactive techniques,SIGGRAPH'92, pages 265-272, 1992.
21. L.B.Wolff. Diffuse reflection. In International Conference on Computer Vision and Pattern Recognition CVPR92, page 472478, Urbana-Champaign Illinois, 1992.
22. L. B. Wolff, S. K. Nayar, and M. Oren. Improved diffuse reflection models for computer vision. Int. J. Comput. Vision, 30(1):55-71, 1998.
23. R. Zhang, P.-S. Tsai, J.-E. Cryer, and M. Shah. Shape from shading: A survey. IEEE Trans. on Pattern Analysis and Machine Intelligence, 21(8):690-706, 1999.