A04 | Quantitative Models for Visual Abstraction
We aim at finding abstraction methods for visual computing that create graphical representations for given data with a quantitatively determined degree of abstraction. Appropriate abstraction styles will be selected and representations will be developed that allow us to technically quantify the visual representation (e.g. the number of graphical elements used for a representation). In a second step, we will develop methods that perform abstraction also in a perceptually linear way.
This project will provide visual abstraction methods for other projects of the Collaborative Research Center.
Research questions
Can we measure the degree of abstraction of a non-photorealistic rendering?
Can we create abstraction methods with coherence between created abstract representations?
Is it possible to parametrize different abstraction styles in a technically linear way?
Is the parametrization also adjustable in a perceptually linear way?
Fig. 1: Representation of an input image (upper left) by illustrations with varying number of graphical elements (24.000, 12.000 and 6.000 stipple points.
Project Group A
Models and Measures
Completed
Project Group B
Adaptive Algorithms
Completed
Project Group C
Interaction
Completed
Project Group D
Applications
Completed
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© SFB-TRR 161 | Quantitative Methods for Visual Computing | 2019.