Polarization-based Inverse Rendering


Real Image	Synthesized Image

By observing the polarization state of the object from a single view, we estimated the 3D shape of the object, reflection parameters of the object such as reflectance and surface roughness, and also estimated the illumination distribution.
Polarizer-mounted color CCD camera is the measurement setup. First, from the color information of the obtained image, we separate each images into specular component image and diffuse component image. Then, we calculate the polarization data from images taken under different rotation angle of the polarizer. We estimate the surface shape from the polarization data. By detecting the intensity peak of specular component image, we estimate the orientation of the directional light sources. Finally, we estimate the reflection parameters of diffuse and specular reflection, that is, diffuse albedo, specular albedo, and surface roughness.

*Polarization-based Inverse Rendering from a Single View

Daisuke Miyazaki, Robby T. Tan, Kenji Hara, Katsushi Ikeuchi

in Proceedings of International Conference on Computer Vision (ICCV2003), Vol. II, pp.982-987

Acropolis Conference Centre, Nice, Cote d'Azur, France

2003/10/15 (2003/10/13-2003/10/16)

http://www.cvl.iis.u-tokyo.ac.jp/iccv2003/

http://www.inrialpes.fr/movi/people/Triggs/iccv03/

Paper: English, Poster: English

Session 10: Posters and Demos III

Miyazaki-ICCV2003-Opaque.pdf
http://dx.doi.org/10.1109/ICCV.2003.1238455

Miyazaki-ICCV2003-Poster-Opaque.pdf

Errata("4.3. Histogram Modification" last paragraph, first sentence)