Polarization imaging reflectometry in the wild
File(s)polarization-reflectometry-accepted-small.pdf (2.72 MB)
Accepted version
Author(s)
Riviere, J
Reshetouski, I
Filipi, L
Ghosh, A
Type
Journal Article
Abstract
We present a novel approach for on-site acquisition of surface reflectance for planar, spatially varying, isotropic samples in uncontrolled outdoor environments. Our method exploits the naturally occurring linear polarization of incident and reflected illumination for this purpose. By rotating a linear polarizing filter in front of a camera at three different orientations, we measure the polarization reflected off the sample and combine this information with multi-view analysis and inverse rendering in order to recover per-pixel, high resolution reflectance and surface normal maps. Specifically, we employ polarization imaging from two near orthogonal views close to the Brewster angle of incidence in order to maximize polarization cues for surface reflectance estimation. To the best of our knowledge, our method is the first to successfully extract a complete set of reflectance parameters with passive capture in completely uncontrolled outdoor settings. To this end, we analyze our approach under the general, but previously unstudied, case of incident partial linear polarization (due to the sky) in order to identify the strengths and weaknesses of the method under various outdoor conditions. We provide practical guidelines for on-site acquisition based on our analysis, and demonstrate high quality results with an entry level DSLR as well as a mobile phone.
Date Issued
2017-11-20
Date Acceptance
2017-09-10
Citation
ACM Transactions on Graphics, 2017, 36 (6)
ISSN
0730-0301
Publisher
Association for Computing Machinery
Journal / Book Title
ACM Transactions on Graphics
Volume
36
Issue
6
Copyright Statement
© ACM, 2017. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Transactions on Graphics, {VOL# 36, ISS# 6, (20 Nov 2017)
Sponsor
The Royal Society
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (EPSRC)
Grant Number
WM 120040
EP/N006259/1
EP/M00192X/1
Subjects
Science & Technology
Technology
Computer Science, Software Engineering
Computer Science
Surface relectometry
linear polarization
Stokes parameters
index of refraction
Software Engineering
0801 Artificial Intelligence and Image Processing
0806 Information Systems
Publication Status
Published
Article Number
ARTN 206