Circularly polarized spherical illumination reflectometry

Author:

Ghosh Abhijeet1,Chen Tongbo1,Peers Pieter1,Wilson Cyrus A.1,Debevec Paul1

Affiliation:

1. USC Institute for Creative Technologies

Abstract

We present a novel method for surface reflectometry from a few observations of a scene under a single uniform spherical field of circularly polarized illumination. The method is based on a novel analysis of the Stokes reflectance field of circularly polarized spherical illumination and yields per-pixel estimates of diffuse albedo, specular albedo, index of refraction, and specular roughness of isotropic BRDFs. To infer these reflectance parameters, we measure the Stokes parameters of the reflected light at each pixel by taking four photographs of the scene, consisting of three photographs with differently oriented linear polarizers in front of the camera, and one additional photograph with a circular polarizer. The method only assumes knowledge of surface orientation, for which we make a few additional photometric measurements. We verify our method with three different lighting setups, ranging from specialized to off-the-shelf hardware, which project either discrete or continuous fields of spherical illumination. Our technique offers several benefits: it estimates a more detailed model of per-pixel surface reflectance parameters than previous work, it requires a relatively small number of measurements, it is applicable to a wide range of material types, and it is completely viewpoint independent.

Funder

Division of Information and Intelligent Systems

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Graphics and Computer-Aided Design

Reference47 articles.

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2. Atkinson G. A. and Hancock E. R. 2005. Multi-view surface reconstruction using polarization. In ICCV 309--316. 10.1109/ICCV.2005.160 Atkinson G. A. and Hancock E. R. 2005. Multi-view surface reconstruction using polarization. In ICCV 309--316. 10.1109/ICCV.2005.160

3. Shape Estimation Using Polarization and Shading from Two Views

4. Two-dimensional BRDF estimation from polarisation

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