EDBT 2026 Demo / reviewers in the wild / expert
Michael Traoré
dblp:174/7238
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2019
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Visualization and visual analytics · 67% Image and video processing · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics
focus+context visualization |
0.4 | 1 | 2019 | Interactive obstruction-free lensing for volumetric data visualization · IEEE Trans. Vis. Comput. Graph. 2019 |
Image and video processing
occlusion handling |
0.4 | 1 | 2019 | Interactive obstruction-free lensing for volumetric data visualization · IEEE Trans. Vis. Comput. Graph. 2019 |
Visualization and visual analytics
volume visualization |
0.4 | 1 | 2019 | Interactive obstruction-free lensing for volumetric data visualization · IEEE Trans. Vis. Comput. Graph. 2019 |
Methods — techniques the papers use, named apart from their topics
fish-eye deformation · 0.4GPU ray casting · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Interactive obstruction-free lensing for volumetric data visualizationabstractOcclusion is an issue in volumetric visualization as it prevents direct visualization of the region of interest. While many techniques such as transfer functions, volume segmentation or view distortion have been developed to address this, there is still room for improvement to better support the understanding of objects' vicinity. However, most existing Focus+Context fail to solve partial occlusion in datasets where the target and the occluder are very similar density-wise. For these reasons, we investigate a new technique which maintains the general structure of the investigated volumetric dataset while addressing occlusion issues. With our technique, the user interactively defines an area of interest where an occluded region or object is partially visible. Then our lens starts pushing at its border occluding objects, thus revealing hidden volumetric data. Next, the lens is modified with an extended field of view (fish-eye deformation) to better see the vicinity of the selected region. Finally, the user can freely explore the surroundings of the area under investigation within the lens. To provide real-time exploration, we implemented our lens using a GPU accelerated ray-casting framework to handle ray deformations, local lighting, and local viewpoint manipulation. We illustrate our technique with five application scenarios in baggage inspection, 3D fluid flow visualization, chest radiology, air traffic planning, and DTI fiber exploration. Michael Traoré, Christophe Hurter, Alexandru C. Telea |
IEEE Trans. Vis. Comput. Graph. | 1 |