Neural network based photometric stereo using illumination planning

IJCAI International Joint Conference on Artificial Intelligence

Volumn 2, Issue , 1997, Pages 1496-1501

  Iwahori, Yuji ^a   Kato, Wataru ^a   Bhuiyan, Md Shoaib ^a   Woodham, Robert J ^b   Ishii, Naohiro ^a  

^a NAGOYA INSTITUTE OF TECHNOLOGY   (Japan)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CALIBRATION SPHERES; FUNCTIONAL APPROXIMATION; ILL CONDITIONED PROBLEMS; ILLUMINATION PLANNING; PHOTOMETRIC STEREO; PREPROCESSING TECHNIQUES; PRINCIPAL COMPONENTS ANALYSIS; RADIAL BASIS FUNCTION NEURAL NETWORKS;

LIGHT SOURCES; PRINCIPAL COMPONENT ANALYSIS; RADIAL BASIS FUNCTION NETWORKS;

NEURAL NETWORKS;

EID: 33745966461     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. B.K.P. Horn. Obtaining shape from shading information. The Psychology of Computer Vision. (P.H. Winston,ed.), pp.115-155, McGrawHill, 1975.
2. B.K.P. Horn. Understanding image intensities. Artificial Intelligence, vol.8, pp.201-231, 1977.
3. R.J. Woodham. Photometric method for determining surface orientation from multiple images. Optical Engineering, vol.19, pp. 139-144, 1980.
4. R. J. Woodham. Gradient and curvature from the photometric stereo method, including local confidence estimation. Journal of the Optical Society of America, A, vol. 11, pp. 3050-3068,1994.
5. G. Healey, S. Shafer, and L. Wolff, eds., Physics-Based Vision: Principles and Practice (Vol 1 Radiometry, Vol. 2 Color and Vol. 3 Shape Recovery). Boston, MA: Jones and Bartlett Publishers, Inc., 1992.
6. G. Healey, S. Shafer, and L. Wolff, eds., Physics-Based Vision: Principles and Practice (Vol 1 Radiometry, Vol. 2 Color and Vol. 3 Shape Recovery). Boston, MA: Jones and Bartlett Publishers, Inc., 1992.
7. G. Healey, S. Shafer, and L. Wolff, eds., Physics-Based Vision: Principles and Practice (Vol 1 Radiometry, Vol. 2 Color and Vol. 3 Shape Recovery). Boston, MA: Jones and Bartlett Publishers, Inc., 1992.
8. G. Healey and R. Jain. Physics-based machine vision. Journal of the Optical Society of America, A, vol. 11, p. 2922, 1994. (Introduction to special issue).
9. Y. Iwahori, A. Bagheri and R.J. Woodham. Neural Network Implementation of Photometric Stereo. In Proceedings of Vision Interface '95, pp.81-89, (Quebec, Canada) May 1995.
10. Y. Iwahori, R.J. Woodham and A. Bagheri: "Principal Components Analysis and Neural Network Implementation of Photometric Stereo", In Proceedings of IEEE Workshop on Physics-based Modeling in Computer Vision, pp.117-125, June 1995.
11. F. Solomon and K. Ikeuchi. Extracting the Shape and Roughness of Specular Lobe Objects Using Four Light Photometric Stereo. In Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.466-471,June 15-18, 1992.
12. F. Solomon and K. Ikeuchi. An illumination planner for convex and concave 1ambertian polyhedral objects. In Proceedings of IEEE Workshop on Physics-Based Modeling in Computer Vision, pp.100-107, June 18-19, 1995.
13. S.Chen, C.F.N.Cowan and P.M.Grant. Orthogonal least squares learning algorithm for radial basis function networks. IEEE Transactions on Neural Networks, vol.2, no.2, pp.302-309, 1991.