Graphical visualization is an efficient way to present specific information about a large amount of data. Sometimes the act of expanding the view of underlying or superordinate information creates images which can be strikingly beautiful. At Insight2016 such data visualizations will be presented in an art exhibition and shared with a broader public. Spectators can enjoy the aesthetic insights into a scientist's work. The net income generated by the sale of the images on exhibition, are of benefit to a charitable purpose.
Photos: © S. Brandstötter and M. Sax
Location and Date
The exhibition took place at Lakeside Science & Technology Park, Lakeside B11, 9020 Klagenfurt am Wörthersee, Austria, from April 22 to May 22, 2016. The vernissage was part of the Long Night of Research on April 22, 2016.
Two prizes will be awarded:
- Insight-Award for the most insightful Visualization 2016 (awarding by Committee): Homage for Frank Morley by Gert Bär, TU Dresden, Institute for geometry
- Insight-Award for the most aesthetic Visualization 2016 (choice of exhibition visitors): Smoky hurricane by Rostislav Khlebnikov, King's College London, Figueroa Lab
Insight-Award for the most insightful Visualization 2016
"Homage for Frank Morley" Gert Bär (TU Dresden)
In plane geometry, Morley's trisector theorem states that in any triangle, the three points of intersection of the adjacent angle trisectors form an equilateral triangle, called the first Morley triangle. Most authors describe this solution using the trisection of the interior angles of a triangle. If the construction is done by trisection of the exterior angle at each vertex of any triangle then the three points of intersection of adjacent angle trisectors form an equilateral triangle as well. The graphic Homage for Frank Morley illustrates this second case of the trisector theorem.
Insight-Award for the most aesthetic Visualization 2016
"Smoky hurricane" Rostislav Khlebnikov (King's College London)
The image shows the volume rendering of the hurricane Isabel dataset using the novel noise-based visualization approach. A noise function is used to redistribute the opacity within a voxel (element of a volumetric image) which allows simultaneous visualization of dataset containing information about multiple variables (e.g. pressure and wind velocity). Each variable has a distinct color scale and rendering using the smoke-like "strands" allows the colors for each variable to be clearly visible by avoiding color intermixing due to the direct volume rendering (DVR) color accumulation. The redistributed opacity, however, allows to maintain the see-through capabilities of the DVR method.
All exhibited visualizations and their descriptions were published in Proceedings of Insight 2016 - wissenschaftliche Daten in ästhetischer Illustration, Klagenfurt am Wörthersee, April 2016.
When you are interested in buying a book (€ 10,-), please contact Mathias Brandstötter.
Graz University of Technology
HCE - Institute of Health Care Engineering with European Notified Body of Medical Devices
Stremayrgasse 16/II, 8010 Graz, Austria
ROBOTICS - Institute for Robotics and Mechatronics
Lakeside B08a, EG, 9020 Klagenfurt am Wörthersee, Austria