Global shape from shading for an endoscope image

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1679, Issue , 1999, Pages 318-327

  Yeung, S Y ^a   Tsui, H T ^a   Yim, A ^b  

^a CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^b CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Endoscope image; Level set propagation; Shape from shading

Indexed keywords

DISTRIBUTION FUNCTIONS; ENDOSCOPY; LIGHT SOURCES; MEDICAL COMPUTING; NUMERICAL METHODS;

BI-DIRECTIONAL REFLECTION DISTRIBUTION FUNCTIONS; COMPLEX SHAPES; GLOBAL SHAPES; INTERNAL ORGANS; LEVEL SET; SHAPE FROM SHADING; SINGULAR POINTS; SURFACE NORMALS;

MEDICAL IMAGING;

EID: 84957059086     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/10704282_35     Document Type: Conference Paper

References (18)

1. I. Bricault, G. Ferretti, and P. Cinquin. “Multi-level Strategy for Computer-AssistedT ransbronchial Biopsy”. In Lecture Notes in Computer Science 1496, (MICCAI’98), pages 261-268, 1998.
2. J. W. Bruce and P.J. Giblin. “Curves and Singularities”. 2nd ed. Cambridge Univ. Press, Cambridge, UK, 1992.
3. R. L. Cook and K. E. Torrance. “A Reflectance Model for Computer Graphics”. Computer Graphics 15(3), pages 307-316, 1981
4. B. K. P. Horn. “Shape from Shading: A method for Obtaining the Shape of a Smooth Opaque Object from One View”. MIT Project MAC Internal Report TR79 andMI T AI Laboratoru Technical Report 232, November.
5. B. K. P. Horn. “Robot Vision”. The MIT Press, 1986.
6. B. K. P. Horn and M. J. Brooks. “Shape from Shading”. The MIT Press, 1989.
7. B. K. P. Horn and R.W. Sjoberg. “Calculating the reflection map”. Applied Optics, 18, pages 1770-1779, 1979.
8. R. Kimmel andA. Bruckstein. “Global Shape from Shading”. Computer Vision and Image Understanding, Vol. 62, No. 3, pages 360-369, 1995
9. R. Kimmel and A. Bruckstein. “Teacking Level Sets by Level Sets: A Method for Solving the Shape from Shading Problem”. Computer Vision and Image Understanding, Vol. 62, No. 2, pages 47-58, 1995.
10. R. Kimmel, K. Siddiqi, B. Kimia, and A. Bruckstein. “Shape from Shading: Level Set Propagation andV iscosity Solutions”. International Journal of Computer Vision, 16, pages 107-133, 1995.
11. S. K. Nayar, K. Ikeuchi, andT. Kanade. “Surface Reflection: Physical andG eometrical Perspectives”. IEEE Transactions on Pattern Analysis and Machine Intelligence, pages 611-634, 1991.
12. F. E. Nicodemus, J. C. Richmond, J. J. Hsia, I. W. Girsberg, and T. Limperis. “Geometrical considerations and nomendature for reflectance”. NBS Monograph 160 (National Bureau of standards, Washington, D.C.), October 1997.
13. T. Okatani and K. Deguchi. “Shape Reconstruction from an Endoscope Image by Shape from Shading Technique for a Point Light Source at the Projection Center”. Computer Vision and Image Understanding, vol.66, No.2 May, pages 119-131, 1997.
14. J. Oliensis. “ Shape from Shading as a Partially Well-Constrained Problem”. CVGIP: Image Understanding, Vol. 54, pages 163-183, 1993.
15. J. Oliensis and P. Dupuis. “A Global Algorithm for Shape from Shading”. In Proc. of the 4th ICCV, pages 692-701, 1993.
16. S. Osher and S. A. Sethian. “Fronts propagating with curvature-dependent speed: Algorithms basedon Hamilton-Jacobi formulations”. J. of Comput. Phys. 79, pages 12-49, 1998.
17. E. Rouy and A. Tourin. “A viscosity solutions approach to shape-from shading”. SIAM J. Number. Anal. 29(3), pages 867-884, June 1992.
18. K. E. Torrance and E. Sparrow. “Theory for off-Specular Reflection from RoughenedS urface”. J. Opt. Soc. Amer. 57, pages 1105-1114, 1967.