Adaptive Color Transfer From Images to Terrain Visualizations

Area of Science:

• Cartography
• Computer Graphics
• Human-Computer Interaction

Background:

• Effective elevation color schemes are crucial for terrain visualization but challenging to create.
• Existing methods lack expressiveness and struggle with aesthetic quality.
• Communicating landscape features and emotional responses through color is a key cartographic goal.

Purpose of the Study:

• To develop a robust method for transferring colors from arbitrary images to terrain models.
• To enhance the aesthetic quality and emotional expressiveness of elevation color schemes.
• To provide a user-friendly approach for crafting effective terrain visualizations.

Main Methods:

• A two-step image-to-terrain color transfer approach.
• A novel image color organization method creating a continuous color grid.
• Quantification of cartographic concerns and definition of color similarity.
• Formulation of color transfer as a dual-objective optimization problem solved heuristically.

Main Results:

• The proposed method successfully transfers colors from diverse images to terrain models.
• Evaluations show the generated elevation colors are more effective and visually favorable than standard schemes.
• The method demonstrates the ability to transfer emotion from source images to terrain visualizations.

Conclusions:

• The developed image-to-terrain color transfer method significantly improves elevation color design.
• This approach offers a powerful tool for creating more engaging and emotionally resonant terrain maps.
• The findings contribute to advancing cartographic visualization techniques and user experience.