3D reconstruction by polarimetric imaging method based on perspective model

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7389, Issue , 2009, Pages

  Rantoson, Rindra ^a   Stolz, Christophe ^a   Fofi, David ^a   Mériaudeau, Fabrice ^a  

^a UNIVERSITÉ DE BOURGOGNE   (France)

Author keywords

3D reconstruction; Data analysis; Pinhole model; Polarization; Validation process

Indexed keywords

3-D MEASUREMENT SYSTEMS; 3D INSPECTION; 3D RECONSTRUCTION; CLASSICAL APPROACH; DATA ANALYSIS; DATA ANALYSIS METHODS; EXPERIMENTAL TECHNIQUES; FAR INFRARED; INTER-REFLECTION; MATHEMATICAL APPROACH; NON-CONTACT; NONCONTACT MEASUREMENTS; PERSPECTIVE MODELS; PIN-HOLE MODELS; PINHOLE MODEL; POLARIMETRIC IMAGING; RECONSTRUCTION ERROR; SHAPE FROM POLARIZATION; STOKES PARAMETERS; TRANSPARENT OBJECTS; VALIDATION METHODS; VALIDATION PROCESS;

IMAGE RECONSTRUCTION; INSPECTION; LENSES; LINEAR SYSTEMS; OPTICAL DATA PROCESSING; OPTICAL TESTING; OPTICAL VARIABLES MEASUREMENT; PARAMETER ESTIMATION; POLARIMETERS; POLARIZATION; POLAROGRAPHIC ANALYSIS; REPAIR;

THREE DIMENSIONAL;

EID: 69949168916     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.827582     Document Type: Conference Paper

References (20)

1. Scharstein, D. and Szeliski, R. "High-accuracy stereo depth maps using structured light", Computer vision and Pattern recognition, IEEE, USA, 2003.
2. P. Y. L. Surya Prakash and T. Caelli, "3D mapping of surface temperature using thermal stereo", pp. 1-4.Volume, Issue, 2006.
3. Murase H, "Surface shape reconstruction of an undulating transparent Object", Proc IEEE Conf Computer Vision, Japan 1990.
4. Hata S, Saitoh Y, Kumamura S and Kaida K, "Shape extraction of transparent object using Genetic Algorithm, Proc Intl Conf Pattern Recognition", Vienna Austria, 1996.
5. M. K. D. Miyazaki and K. Ikeuchi, "Determining shapes of transparent objects from two polarization images", in Proceedings of IAPRWorkshop on Machine Vision Application, pp. 26-31(MVA2002).
6. Saito M, Sato Y, Ikeuchi K and Kashiwagi H, "Measurement of Surface Orientations of Transparent Objects using Polarization in Highlight", Proc IEEE Conf Computer Vision and Pattern RecogNition, Fort Collins Colorado- pp.
7. Wolff, L. B. & Andreou A, "Polarization camera sensors, Image and Vision Computing", 13(6), 497-510, 1995.
8. Saito, H., Omata, K., & Ozawa, S. "Recovery of shape and surface reflectance of specular object from relative rotation of light source. Image and Vision Computing", 21(9), 777-787(2003).
9. O. Morel, C. Stolz, F. Meriaudeau "Active Lighting Applied to 3D Reconstruction of Specular Metallic Surfaces by Polarization Imaging," Appl. Opt. 45, 4062-4068 (2006).
10. O. Morel, "active environment for 3D reconstruction of specular surface by polarimetric imaging", thesis pp 82- 108, UB, France, 2005.
11. Z. Zhang, "Flexible camera calibration by viewing a plane from unknown orientations", IEEE, 1999.
12. D. Goldstein, "Polarized Light", New York, United States 1993.
13. J. Goupy, "Introduction aux plans d'expériences", ISBN 2 10005606 9, DUNOD, Paris, 2003.
14. Searle SR, "Matrix Algebra Useful for Statistics", New York, 1982.
15. R. Klette and K. Schluns, "Height data from gradient fields", in Proceedings of SPIE Machine Vision Applications, Architectures, and Systems Integration (2908), Boston, USA, pp. 204-215, 1996.
16. D. Terzopoulos, "Multi-level reconstruction of visual surfaces: Variational principles and finite element" no. 671, 1982.
17. R. Frankot and R. Chellappa, "A method for enforcing integrability in shape from shading algorithms", 10 pp. 439-451, 1988.
18. R. Horn and C. Johnson. "Matrix Analysis", Chapter 5, Cambridge University Press, 1985.
19. Douglas W. Harder, "Matrix Norms and Condition Numbers".
20. Carl D. Meyer, "Matrix Analysis and Applied Linear Algebra", published by SIAM, 2000.