Overview

Our research focuses on basic problems in visual computing and is strongly linked to various disciplines, such as computational imaging and intelligent optics, visual analytics for natural and life sciences, and games user research and analytics.

Our focus branches in three main areas: computer vision and computer graphics, visual data science, and game computing and games analytics. In all three branches, AI/machine learning has become a relevant tool for problem-solving.

Research in visual computing has evolved tremendously in the last decade. Besides classical topics, including image processing, visualization, and rendering, interactive systems such as computational imaging, games, augmented reality, and virtual reality have become more and more relevant. 

Not only the rapid development of graphics hardware and machine learning, but also stronger overlap with interdisciplinary fields, such as computer vision, applied optics, visual perception, and human-computer interaction, shaped visual computing in the previous years and made it into what it is today: an exciting and multidisciplinary field of research with applications in almost all aspects of our modern life.

Logo Institute of Computer Graphics

Address

Johannes Kepler University Linz
Institute of Computer Graphics
Altenberger Straße 69
4040 Linz

Location

Science Park 3, Room 0303
Campusplan (Click Here)

Phone

+43 732 2468 6630

Research

Honorable Mention Award at CHI 2021

What Players Want: Information Needs of Players on Post-Game Visualizations
Günter Wallner, Marnix van Wijland, Regina Bernhaupt, Simone Kriglstein

Research

New Publication

Search and rescue with airborne optical sectioning
David C. Schedl, Indrajit Kurmi & Oliver Bimber
(Nature Machine Intelligence 2020)

Research

Best Paper Award at iMIMIC 2020
 

Projective Latent Interventions for Understanding and Fine-Tuning Classifiers
 

Research

New Publication

Fast Automatic Visibility Optimization for Thermal Synthetic Aperture Visualization (IEEE Geoscience)

Research

New Publication

Exploring Visual Patterns in Projected Human and Machine Decision-Making Paths

Research

New Publication

InstanceFlow: Visualizing the Evolution of Classifier Confusion on the Instance Level

ICG Lab Talks

Alexander Lex

 
Date: 16.06.2021, 10:30
Speaker: Alexander Lex, University of Utah
Title: Literate Visualization - Making Visual Analysis Sessions Reproducible and Reusable
 

VCC

Visual Computing Club

The Visual Computing Club (VCC) is an assembly of excellent students in visual computing (computer graphics, visualization, computer vision, image processing).

Teaching

B.Sc. & M.Sc. Projects

Open projects proposals and practical courses for Bachelor and Master theses