Ellipsometry by specular reflection has been reworked as a precise surface normal vector detection method for the geometrical shape study of a glossy object. When the object is illuminated by circularly polarized light, the surface normal vector defines the shape of the reflection polarization ellipse; the azimuth and ellipticity are determined by the angle of the incident plane and the angle of incidence, respectively. The tilt-ellipsometry principle of tilt detection is demonstrated experimentally with a metallic polygon and a cube sample.

© 2013 OSA

1. M. Saito, Y. Sato, K. Ikeuchi, and H. Kashiwagi, “Measurement of surface orientations of transparent objects by use of polarization in highlight,” J. Opt. Soc. Am. A16(9), 2286–2293 (1999). [CrossRef]
2. D. Miyazaki, M. Saito, Y. Sato, and K. Ikeuchi, “Determining surface orientations of transparent objects based on polarization degrees in visible and infrared wavelengths,” J. Opt. Soc. Am. A19(4), 687–694 (2002). [CrossRef] [PubMed]
3. P. Miché, A. Bensrhair, and D. Lebrun, “Passive 3-D shape recovery of unknown objects using cooperative polarimetric and radiometric stereo vision processes,” Opt. Eng.44(2), 027005 (2005). [CrossRef]
4. G. A. Atkinson and E. R. Hancock, “Recovery of surface orientation from diffuse polarization,” IEEE Trans. Image Process.15(6), 1653–1664 (2006). [CrossRef] [PubMed]
5. O. Morel, C. Stolz, F. Meriaudeau, and P. Gorria, “Active lighting applied to three-dimensional reconstruction of specular metallic surfaces by polarization imaging,” Appl. Opt.45(17), 4062–4068 (2006). [CrossRef] [PubMed]
6. L. B. Wolff and A. G. Andreou, “Polarization camera sensors,” Image Vis. Comput.13(6), 497–510 (1995). [CrossRef]
7. K. Koshikawa, “A polarimetric approach to shape understanding of glossy objects,” in Proceedings of International Joint Conference on Artificial Intelligence (Tokyo, Japan, 1979), pp. 493–495.
8. K. Koshikawa and Y. Shirai, “A model-based recognition of glossy objects using their polarimetrical properties,” Adv. Robot.2(2), 137–147 (1987). [CrossRef]
9. T. Kawashima, Y. Sasaki, Y. Inoue, Y. Honma, T. Sato, S. Ohta, and S. Kawakami, “Polarization imaging camera and its application by utilizing a photonic crystal,” presented at the 32th Optical Symposium, Japan, 5–6, Jul. 2007.
10. J. S. Tyo, D. L. Goldstein, D. B. Chenault, and J. A. Shaw, “Review of passive imaging polarimetry for remote sensing applications,” Appl. Opt.45(22), 5453–5469 (2006). [CrossRef] [PubMed]
11. R. M. A. Azzam and N. M. Bashara, Ellipsometry and polarized light (North-Holland, Amsterdam, 1988).
12. R. T. Frankot and R. Chellappa, “A method for enforcing integrability in shape from shading algorithms,” IEEE Trans. Pattern Anal. Mach. Intell.10(4), 439–451 (1988). [CrossRef]
13. R. Klette and K. Schlüns, “Height data from gradient fields,” Proc. SPIE2908, 204–215 (1996). [CrossRef]
14. P. Kovesi, “Shaplets correlated with surface normals produce surface,” in Proceedings of 10th IEEE International Conference on Computer Vision (Institute of Electrical and Electronics Engineers, Beijing, 2005), pp. 994–1001. [CrossRef]
15. W. A. P. Smith and E. R. Hancock, “Recovering facial shape using a statistical model of surface normal direction,” IEEE Trans. Pattern Anal. Mach. Intell.28(12), 1914–1930 (2006). [CrossRef] [PubMed]

Adv. Robot.

• K. Koshikawa and Y. Shirai, “A model-based recognition of glossy objects using their polarimetrical properties,” Adv. Robot.2(2), 137–147 (1987). [CrossRef]

Appl. Opt.

• J. S. Tyo, D. L. Goldstein, D. B. Chenault, and J. A. Shaw, “Review of passive imaging polarimetry for remote sensing applications,” Appl. Opt.45(22), 5453–5469 (2006). [CrossRef] [PubMed]
• O. Morel, C. Stolz, F. Meriaudeau, and P. Gorria, “Active lighting applied to three-dimensional reconstruction of specular metallic surfaces by polarization imaging,” Appl. Opt.45(17), 4062–4068 (2006). [CrossRef] [PubMed]

IEEE Trans. Image Process.

• G. A. Atkinson and E. R. Hancock, “Recovery of surface orientation from diffuse polarization,” IEEE Trans. Image Process.15(6), 1653–1664 (2006). [CrossRef] [PubMed]

IEEE Trans. Pattern Anal. Mach. Intell.

• W. A. P. Smith and E. R. Hancock, “Recovering facial shape using a statistical model of surface normal direction,” IEEE Trans. Pattern Anal. Mach. Intell.28(12), 1914–1930 (2006). [CrossRef] [PubMed]
• R. T. Frankot and R. Chellappa, “A method for enforcing integrability in shape from shading algorithms,” IEEE Trans. Pattern Anal. Mach. Intell.10(4), 439–451 (1988). [CrossRef]

Image Vis. Comput.

• L. B. Wolff and A. G. Andreou, “Polarization camera sensors,” Image Vis. Comput.13(6), 497–510 (1995). [CrossRef]

J. Opt. Soc. Am. A

• M. Saito, Y. Sato, K. Ikeuchi, and H. Kashiwagi, “Measurement of surface orientations of transparent objects by use of polarization in highlight,” J. Opt. Soc. Am. A16(9), 2286–2293 (1999). [CrossRef]
• D. Miyazaki, M. Saito, Y. Sato, and K. Ikeuchi, “Determining surface orientations of transparent objects based on polarization degrees in visible and infrared wavelengths,” J. Opt. Soc. Am. A19(4), 687–694 (2002). [CrossRef] [PubMed]

Opt. Eng.

• P. Miché, A. Bensrhair, and D. Lebrun, “Passive 3-D shape recovery of unknown objects using cooperative polarimetric and radiometric stereo vision processes,” Opt. Eng.44(2), 027005 (2005). [CrossRef]

Proc. SPIE

• R. Klette and K. Schlüns, “Height data from gradient fields,” Proc. SPIE2908, 204–215 (1996). [CrossRef]

Other

• P. Kovesi, “Shaplets correlated with surface normals produce surface,” in Proceedings of 10th IEEE International Conference on Computer Vision (Institute of Electrical and Electronics Engineers, Beijing, 2005), pp. 994–1001. [CrossRef]
• K. Koshikawa, “A polarimetric approach to shape understanding of glossy objects,” in Proceedings of International Joint Conference on Artificial Intelligence (Tokyo, Japan, 1979), pp. 493–495.
• R. M. A. Azzam and N. M. Bashara, Ellipsometry and polarized light (North-Holland, Amsterdam, 1988).
• T. Kawashima, Y. Sasaki, Y. Inoue, Y. Honma, T. Sato, S. Ohta, and S. Kawakami, “Polarization imaging camera and its application by utilizing a photonic crystal,” presented at the 32th Optical Symposium, Japan, 5–6, Jul. 2007.

Click here to see a list of articles that cite this paper

Related Journal Articles

• Axi-Vision Camera (Real-Time Distance-Mapping Camera) (AO)
• Fringe image analysis based on the amplitude modulation method (OE)
• Optical measurement network for large-scale and shell-like objects (OL)
• Generation of photorealistic 3D image using optical digitizer (AO)
• Strategy for automatic and complete three-dimensional optical digitization (OL)

Related Conference Papers

• Spatial Position Detection of Three-Dimensional Object Using Complex Amplitude Derived from Fourier Transform Profilometry
• Spatial Position Detection of Three-Dimensional Object Using Complex Amplitude Derived from Fourier Transform Profilometry
• Miniaturized Channeled Spectropolarimeter
• Compact Laser Scanning Distance Sensor with a Two-Axis Gimbaled Microscanner for Volumetric Imaging
• How Sharp Must Depth Maps Be for Good 3-D Video Synthesis: Experimental Evaluation and Applications