Adaptive color transfer from images to terrain visualizations
Mingguang Wu, Yanjie Sun, Shangjing Jiang

TL;DR
This paper introduces a novel two-step method for transferring colors from arbitrary images to terrain models, enabling expressive and aesthetically pleasing visualizations that can also convey emotional content.
Contribution
It presents a new image color organization technique and formulates the color transfer as a dual-objective optimization, improving terrain visualization customization.
Findings
Transferring colors effectively matches standard schemes.
Enhanced visual appeal and emotional conveyance.
Method performs comparably to traditional schemes.
Abstract
Terrain mapping is not only dedicated to communicating how high or how steep a landscape is but can also help to narrate how we feel about a place. However, crafting effective and expressive hypsometric tints is challenging for both nonexperts and experts. In this paper, 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 subjective concerns about elevation color crafting, such as "the lower, the higher" principle, color conventions, and aerial perspectives. We also define color similarity…
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Taxonomy
TopicsColor perception and design
