Erik Broberg

dblp:210/5354 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1

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
Rendering · 67% Visualization and visual analytics · 33%
Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational social science and digital humanities · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Rendering
level-of-detail rendering
0.312018
Globe Browsing: Contextualized Spatio-Temporal Planetary Surface Visualization · IEEE Trans. Vis. Comput. Graph. 2018
Rendering › rendering optimization › rendering acceleration
out-of-core rendering
0.312018
Globe Browsing: Contextualized Spatio-Temporal Planetary Surface Visualization · IEEE Trans. Vis. Comput. Graph. 2018
Visualization and visual analytics
spatiotemporal visualization
0.312018
Globe Browsing: Contextualized Spatio-Temporal Planetary Surface Visualization · IEEE Trans. Vis. Comput. Graph. 2018
Computational social science and digital humanities
spatial data visualization
0.112018
Globe Browsing: Contextualized Spatio-Temporal Planetary Surface Visualization · IEEE Trans. Vis. Comput. Graph. 2018

Methods — techniques the papers use, named apart from their topics

image acquisition pipeline · 0.7chunked level-of-detail · 0.7
YearPublicationVenuePosition
2018 Globe Browsing: Contextualized Spatio-Temporal Planetary Surface Visualization
abstract
Results of planetary mapping are often shared openly for use in scientific research and mission planning. In its raw format, however, the data is not accessible to non-experts due to the difficulty in grasping the context and the intricate acquisition process. We present work on tailoring and integration of multiple data processing and visualization methods to interactively contextualize geospatial surface data of celestial bodies for use in science communication. As our approach handles dynamic data sources, streamed from online repositories, we are significantly shortening the time between discovery and dissemination of data and results. We describe the image acquisition pipeline, the pre-processing steps to derive a 2.5D terrain, and a chunked level-of-detail, out-of-core rendering approach to enable interactive exploration of global maps and high-resolution digital terrain models. The results are demonstrated for three different celestial bodies. The first case addresses high-resolution map data on the surface of Mars. A second case is showing dynamic processes, such as concurrent weather conditions on Earth that require temporal datasets. As a final example we use data from the New Horizons spacecraft which acquired images during a single flyby of Pluto. We visualize the acquisition process as well as the resulting surface data. Our work has been implemented in the OpenSpace software [8], which enables interactive presentations in a range of environments such as immersive dome theaters, interactive touch tables, and virtual reality headsets.
Karl Bladin, Emil Axelsson, Erik Broberg, Carter Emmart, Patric Ljung, Alexander Bock 0002, Anders Ynnerman
IEEE Trans. Vis. Comput. Graph.3