Corrections to “Perceptually Uniform Construction of Illustrative Textures”

This note corrects errors in Figs. 12 and 13 and the description of the parametric function in the paper "Perceptually Uniform Construction of Illustrative Textures" published in IEEE Transactions on Visualization and Computer Graphics, Vol. 30, Issue 1, 2024.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Visualization and Computer Graphics
Published
2026-02-11
DOI
https://doi.org/10.1109/tvcg.2025.3646304
Primary Topic
Computer Graphics and Visualization Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Corrections to “Perceptually Uniform Construction of Illustrative Textures”

Douglas W. Cunningham, Monique Meuschke, Anna Sterzik, Kai Lawonn
IEEE Transactions on Visualization and Computer Graphics
Computer Graphics and Visualization Techniques
article

Corrections to “Perceptually Uniform Construction of Illustrative Textures”

Douglas W. Cunningham, Monique Meuschke, Anna Sterzik, Kai Lawonn
article en

Abstract

This note corrects errors in Figs. 12 and 13 and the description of the parametric function in the paper "Perceptually Uniform Construction of Illustrative Textures" published in IEEE Transactions on Visualization and Computer Graphics, Vol. 30, Issue 1, 2024.

IEEE Transactions on Visualization and Computer GraphicsVol. 32(3)
University Hospital Magdeburg (DE), Brandenburg University of Technology Cottbus-Senftenberg (DE)
Openalex Percentile: Top 62%
Computer Graphics and Visualization Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.