Demo Data from VLDB 2026 / reviewers in the wild / expert
Alexander D. Logvinenko
dblp:20/7890
· DBLP profile ↗
3ranked-venue papers
3as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 first-authorArtificial intelligence and machine learning · 1 · 1 first-author
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
3 papers |
Computational photography and imaging · 100% | |
| Theoretical computer science
2 papers |
Information theory · 57% Mathematical optimization · 43% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational photography and imaging
color science |
0.6 | 3 | 2016 | On Counting Metamers · IEEE Trans. Image Process. 2016 Metamer Mismatching · IEEE Trans. Image Process. 2014 Object-Colour Manifold · Int. J. Comput. Vis. 2013 |
Computational photography and imaging › color science
metamerism |
0.4 | 2 | 2016 | On Counting Metamers · IEEE Trans. Image Process. 2016 Metamer Mismatching · IEEE Trans. Image Process. 2014 |
Information theory › estimation theory
density estimation |
0.2 | 1 | 2016 | On Counting Metamers · IEEE Trans. Image Process. 2016 |
Mathematical optimization › continuous optimization
convex optimization |
0.2 | 1 | 2014 | Metamer Mismatching · IEEE Trans. Image Process. 2014 |
Methods — techniques the papers use, named apart from their topics
probability density estimation · 0.5reflectance spectra characterization · 0.4convex optimization · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | On Counting MetamersabstractObjects reflecting lights, which invoke the identical responses of the photoreceptors, are called metameric. Metameric objects match each other in color. Assuming all the reflecting objects equiprobable, the probability density distribution on the set of all the classes of mutually metameric objects is evaluated. Metamerism depends on illumination. Objects metameric under one illumination might produce different photoreceptor responses (i.e., mismatch each other) under the other illumination. In particular, objects mapping to a single point in the photoreceptor response space under one illumination map to a volume (referred to as the metamer mismatch volume) in the photoreceptor response space under the second illumination. The probability density distribution in the metamer mismatch volume is also evaluated. Its center is expressed as a function of the photoreceptor spectral sensitivities and the spectral power distributions of the illuminants. Potential application of the obtained results to color management is discussed. Alexander D. Logvinenko, Eugene Demidenko |
IEEE Trans. Image Process. | 1 |
| 2014 | Metamer MismatchingabstractA new algorithm for calculating the metamer mismatch volumes that arise in colour vision and colour imaging is introduced. Unlike previous methods, the proposed method places no restrictions on the set of possible object reflectance spectra. As a result of such restrictions, previous methods have only been able to provide approximate solutions to the mismatch volume. The proposed new method is the first to characterize precisely the metamer mismatch volume for any possible reflectance. Alexander D. Logvinenko, Brian V. Funt, Christoph Godau |
IEEE Trans. Image Process. | 1 |
| 2013 | Object-Colour Manifold
Alexander D. Logvinenko |
Int. J. Comput. Vis. | 1 |