Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page
Demo Data from SIGIR 2026 / reviewers in the wild / expert

Olov Marklund

dblp:65/1733 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 2001
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 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
1 paper
Image and video processing · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing › image restoration › inverse problem › signal reconstruction
phase unwrapping		 0.012001
An anisotropic evolution formulation applied in 2-D unwrapping of discontinuous phase surfaces · IEEE Trans. Image Process. 2001

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

partial differential equations · 0.0anisotropic evolution · 0.0
YearPublicationVenuePosition
2001 An anisotropic evolution formulation applied in 2-D unwrapping of discontinuous phase surfaces
abstract
In this paper, a new method to reconstruct piecewise continuous phase estimates using inphase and quadrature components acquired from interferometry measurements is derived and discussed. The method, based on the concept of anisotropic evolution formulations, is shown to be far less noise sensitive than similar methods operating on modulo-mapped data (i.e., traditional phase unwrapping methods). The method is able to produce reliable phase estimates from data containing complex sheared structures in combination with high noise content without relying on user-defined weights.
Olov Marklund
 IEEE Trans. Image Process.1