Demo Data from VLDB 2026 / reviewers in the wild / expert
Luka Filipi
dblp:209/5979
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Rendering
inverse rendering |
0.3 | 1 | 2017 | Polarization imaging reflectometry in the wild · ACM Trans. Graph. 2017 |
Computational photography and imaging
polarization imaging |
0.3 | 1 | 2017 | Polarization imaging reflectometry in the wild · ACM Trans. Graph. 2017 |
Computational photography and imaging
reflectance acquisition |
0.3 | 1 | 2017 | Polarization imaging reflectometry in the wild · ACM Trans. Graph. 2017 |
Rendering › inverse rendering
reflectance and normal estimation |
0.3 | 1 | 2017 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Polarization imaging reflectometry in the wildabstractWe 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 |