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Ninth IEEE International Conference on Computer Vision (ICCV'03) - Volume 2
Polarization-based Inverse Rendering from a Single View
Nice, France
October 13-October 16
ISBN: 0-7695-1950-4
Daisuke Miyazaki, The University of Tokyo, Japan
Robby T. Tan, The University of Tokyo, Japan
Kenji Hara, The University of Tokyo, Japan
Katsushi Ikeuchi, The University of Tokyo, Japan
This paper presents a method to estimate geometrical, photometrical, and environmental information of a single-viewed object in one integrated framework under fixed viewing position and fixed illumination direction. These three types of information are important to render a photorealistic image of a real object. Photometrical information represents the texture and the surface roughness of an object, while geometrical and environmental information represent the 3D shape of an object and the illumination distribution, respectively. The proposed method estimates the 3D shape by computing the surface normal from polarization data, calculates the texture of the object from the diffuse only reflection component, determines the illumination directions from the position of the brightest intensity in the specular reflection component, and finally computes the surface roughness of the object by using the estimated illumination distribution.
Citation:
Daisuke Miyazaki, Robby T. Tan, Kenji Hara, Katsushi Ikeuchi, "Polarization-based Inverse Rendering from a Single View," iccv, vol. 2, pp.982, Ninth IEEE International Conference on Computer Vision (ICCV'03) - Volume 2, 2003
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