Polarization Multiplexing for Bidirectional Imaging

Our goal is to incorporate polarization in appearancebased modeling in an efficient and meaningful way. Polarization has been used in numerous prior studies for separating diffuse and specular reflectance components, but in this work we show that it also can be used to separate surface reflectance contributions from individual light sources. Our approach is called polarization multiplexing and it has significant impact in appearance modeling and bidirectional imaging where the image as a function of illumination direction is needed. Multiple unknown light sources can illuminate the scene simultaneously, and the individual contributions to the overall surface reflectance can be estimated. To develop the method of polarization multiplexing, we use a relationship between light source direction and intensity modulation. Inverting this transformation enables the individual intensity contributions to be estimated. In addition to polarization multiplexing, we show that phase histograms from ...

• Type: Conference
• Year: 2005
• Where: CVPR
• Authors: Oana G. Cula, Kristin J. Dana, Dinesh K. Pai, Dongsheng Wang
• Keywords: Computer Vision, CVPR 2005, Individual Intensity Contributions, Individual Light Sources, Overall Surface Reflectance, Specular Reflectance Components, Surface Reflectance Contributions