Shangjing Jiang

dblp:283/9030 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0002-6920-3901ORCID · reported

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

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

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
Visualization and visual analytics · 81% Visual content generation and editing · 19%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visualization and visual analytics › geospatial visualization
terrain visualization
0.812024
Adaptive Color Transfer From Images to Terrain Visualizations · IEEE Trans. Vis. Comput. Graph. 2024
Visualization and visual analytics › visual encoding
color mapping
0.212024
Adaptive Color Transfer From Images to Terrain Visualizations · IEEE Trans. Vis. Comput. Graph. 2024
Visual content generation and editing › style transfer
color transfer
0.212024
Adaptive Color Transfer From Images to Terrain Visualizations · IEEE Trans. Vis. Comput. Graph. 2024

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

heuristic search · 0.8dual-objective optimization · 0.8color grid organization · 0.8
YearPublicationVenuePosition
2024 Adaptive Color Transfer From Images to Terrain Visualizations
abstract
Terrain mapping is not only dedicated to communicating how high or steep a landscape is but can also help to indicate how we feel about a place. However, crafting effective and expressive elevation colors is challenging for both nonexperts and experts. In this article, we present a two-step image-to-terrain color transfer method that can transfer color from arbitrary images to diverse terrain models. First, we present a new image color organization method that organizes discrete, irregular image colors into a continuous, regular color grid that facilitates a series of color operations, such as local and global searching, categorical color selection and sequential color interpolation. Second, we quantify a series of cartographic concerns about elevation color crafting, such as the "lower, higher" principle, color conventions, and aerial perspectives. We also define color similarity between images and terrain visualizations with aesthetic quality. We then mathematically formulate image-to-terrain color transfer as a dual-objective optimization problem and offer a heuristic searching method to solve the problem. Finally, we compare elevation colors from our method with a standard color scheme and a representative color scale generation tool based on four test terrains. The evaluations show that the elevation colors from the proposed method are most effective and that our results are visually favorable. We also showcase that our method can transfer emotion from images to terrain visualizations.
Mingguang Wu, Yanjie Sun, Shangjing Jiang
IEEE Trans. Vis. Comput. Graph.3