Thomas Ertl mostly deals with Visualization, Computer graphics, Rendering, Data visualization and Artificial intelligence. His research investigates the connection with Visualization and areas like Human–computer interaction which intersect with concerns in Eye tracking. His Computer graphics study frequently draws connections between adjacent fields such as Frame rate.
His Rendering research integrates issues from Computational science and Software rendering. In his research, Information retrieval, Data science, Creative visualization and Analytics is intimately related to Visual analytics, which falls under the overarching field of Data visualization. His Artificial intelligence research incorporates themes from Vector field and Computer vision.
His primary scientific interests are in Visualization, Computer graphics, Rendering, Artificial intelligence and Computer vision. Visualization is represented through his Data visualization, Interactive visualization, Information visualization, Scientific visualization and Visual analytics research. In Visual analytics, Thomas Ertl works on issues like Data science, which are connected to Social media.
His study in Volume rendering, Graphics hardware, Graphics, Computer graphics and Software rendering is carried out as part of his Computer graphics studies. Thomas Ertl has included themes like Polygon mesh and Texture mapping in his Volume rendering study. Thomas Ertl has researched Rendering in several fields, including Tiled rendering and Texture memory.
Thomas Ertl spends much of his time researching Visualization, Artificial intelligence, Data visualization, Visual analytics and Rendering. Thomas Ertl combines subjects such as Eye tracking, Information retrieval and Human–computer interaction with his study of Visualization. His Artificial intelligence research is multidisciplinary, incorporating elements of Natural language processing, Machine learning, Computer vision and Pattern recognition.
He interconnects Social media and Analytics, Data science in the investigation of issues within Visual analytics. The subject of his Rendering research is within the realm of Computer graphics. His work on Scientific visualization, Ray tracing and Volume rendering as part of general Computer graphics study is frequently linked to High resolution, bridging the gap between disciplines.
Thomas Ertl focuses on Visualization, Artificial intelligence, Visual analytics, Human–computer interaction and Information visualization. His Visualization research is multidisciplinary, incorporating perspectives in Eye tracking and Information retrieval. Thomas Ertl has included themes like Natural language processing, Machine learning, Metric and Pattern recognition in his Artificial intelligence study.
His studies deal with areas such as Analytics, Data science and Geovisualization as well as Visual analytics. His Analytics research includes elements of Social media, Cultural analytics, Theoretical computer science and Volume rendering. His study explores the link between HTML5 and topics such as Dynamic data that cross with problems in Rendering.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
High-quality pre-integrated volume rendering using hardware-accelerated pixel shading
Klaus Engel;Martin Kraus;Thomas Ertl.
international conference on computer graphics and interactive techniques (2001)
Efficiently using graphics hardware in volume rendering applications
Rüdiger Westermann;Thomas Ertl.
international conference on computer graphics and interactive techniques (1998)
Interactive volume on standard PC graphics hardware using multi-textures and multi-stage rasterization
C. Rezk-Salama;K. Engel;M. Bauer;G. Greiner.
international conference on computer graphics and interactive techniques (2000)
Smart hardware-accelerated volume rendering
Stefan Roettger;Stefan Guthe;Daniel Weiskopf;Thomas Ertl.
Proceedings of the symposium on Data visualisation 2003 (2003)
A simple and flexible volume rendering framework for graphics-hardware-based raycasting
Simon Stegmaier;Magnus Strengert;Thomas Klein;Thomas Ertl.
Spatiotemporal social media analytics for abnormal event detection and examination using seasonal-trend decomposition
Junghoon Chae;Dennis Thom;Harald Bosch;Yun Jang.
visual analytics science and technology (2012)
State-of-the-Art of Visualization for Eye Tracking Data
Tanja Blascheck;Kuno Kurzhals;Michael Raschke;Michael Burch.
EuroVis (STARs) (2014)
Word Cloud Explorer: Text Analytics Based on Word Clouds
Florian Heimerl;Steffen Lohmann;Simon Lange;Thomas Ertl.
hawaii international conference on system sciences (2014)
Design and development of an indoor navigation and object identification system for the blind
Andreas Hub;Joachim Diepstraten;Thomas Ertl.
conference on computers and accessibility (2003)
Interactive clipping techniques for texture-based volume visualization and volume shading
D. Weiskopf;K. Engel;T. Ertl.
IEEE Transactions on Visualization and Computer Graphics (2003)
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: