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Luka Filipi

dblp:209/5979 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Computational photography and imaging · 50% Rendering · 50%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Rendering
inverse rendering
0.312017
Polarization imaging reflectometry in the wild · ACM Trans. Graph. 2017
Computational photography and imaging
polarization imaging
0.312017
Polarization imaging reflectometry in the wild · ACM Trans. Graph. 2017
Computational photography and imaging
reflectance acquisition
0.312017
Polarization imaging reflectometry in the wild · ACM Trans. Graph. 2017
Rendering › inverse rendering
reflectance and normal estimation
0.312017
Polarization imaging reflectometry in the wild · ACM Trans. Graph. 2017

Methods — techniques the papers use, named apart from their topics

polarization imaging · 0.3multi-view analysis · 0.3inverse rendering · 0.3
YearPublicationVenuePosition
2017 Polarization imaging reflectometry in the wild
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.
Jérémy Riviere, Ilya Reshetouski, Luka Filipi, Abhijeet Ghosh
ACM Trans. Graph.3