Abstract
Polarization of light caused by reflection from dielectric surfaces has been widely studied in computer vision. This paper presents an analysis of the accuracy of a technique that has been developed to acquire surface orientation from the polarization state of diffusely reflected light. This method employs a digital camera and a rotating linear polarizer. The paper also explores the possibility of linking polarization vision with shading information by means of a computationally efficient BRDF estimation algorithm.
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Atkinson, G.A., Hancock, E.R. (2005). Analysis of Directional Reflectance and Surface Orientation Using Fresnel Theory. In: Sanfeliu, A., Cortés, M.L. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2005. Lecture Notes in Computer Science, vol 3773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11578079_11
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DOI: https://doi.org/10.1007/11578079_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29850-2
Online ISBN: 978-3-540-32242-9
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