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Alexander D. Logvinenko

dblp:20/7890 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Computational photography and imaging
color science
0.632016
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
0.422016
On Counting Metamers · IEEE Trans. Image Process. 2016
Metamer Mismatching · IEEE Trans. Image Process. 2014
Information theory › estimation theory
density estimation
0.212016
On Counting Metamers · IEEE Trans. Image Process. 2016
Mathematical optimization › continuous optimization
convex optimization
0.212014
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
YearPublicationVenuePosition
2016 On Counting Metamers
abstract
Objects 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 Mismatching
abstract
A 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