Visualization Blog

Ideas, Papers and Thoughts on the field of Visualization

Painterly visualization

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Non-photorealistic rendering emerged out of the need for researchers to render a scene in styles other than photorealistic. Researchers have published their excellent work on topics as diverse as painterly rendering, charcoal rendering, pen-and-ink rendering, blueprint rendering and sketch drawing.

Painterly rendering as mentioned above is a type of non-photorealistic rendering. It deals with generating an image that mimics a painter’s attempt at generating a painting of a particular scene. This topic has received immense attention due to its “coolness factor” as well as complexity. The top image depicts a photograph which is used as input to the algorithm that generates the painterly rendering shown below the photograph. Image credits: Aaron Hertzmann, ‘Painterly Rendering with Curved Brush Strokes of Multiple Sizes’, Siggraph ’98.

Photo Input

Painterly Rendering

Here is a small (definitely incomplete) list of papers that attempt to generate painterly rendered outputs based on various inputs (scenes, photographs and virtual environments).

This list can go on forever, but you get the idea.

After that introduction of painterly rendering, I can now discuss the application of the rich medium of paintings in the field of visualization. In the field of visualization, attributes such as brush size, color, orientation, texture and so on can be used for visualizing all the multiple attributes that comprise a dataset.

Painterly visualization is an interesting approach to visualizing scientific data. Researchers not only end up producing aesthetically pleasing images but also generate visualizations that domain experts can better use to visualize and understand their data.

Prof. Chris Healey from NCSU has been one of the primary researchers using the painterly rendering paradigm to visualize weather and other multi-attribute datasets. Some other work has emerged from the labs of Prof. David Laidlaw at Brown, Prof. Victoria Interrante at UMN.

Here are some of their papers and some other related papers. The beautiful painterly visualizations generated not only make it enjoyable but the techniques and the applications sure make for extremely interesting reading.

This too is by no means a complete list and any input regarding additions will be appreciated.

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Written by alark

June 18, 2007 at 11:17 pm

Posted in Uncategorized

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