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Overcoming Challenges of Cycling Motion Capturing and Building a Comprehensive Dataset
(The Eurographics Association, 2024)
This article describes a methodology for capturing cyclist motion using motion capture (mocap) hardware. It also details the creation of a comprehensive dataset that will be publicly available. The methodology involves a ...
CLIPE 2024: Frontmatter
(The Eurographics Association, 2024)
Community-driven Generation of 3D and Augmented Web Content for Archaeology
(The Eurographics Association, 2014)
Heritage sites (such as prehistoric burial cairns and standing stones) are prolific in Europe; although there is a wish to scan each of these sites, it would be time-consuming to achieve. Citizen science approaches enable ...
Visual-Interactive Exploration of Relations Between Time-Oriented Data and Multivariate Data
(The Eurographics Association, 2016)
The analysis of large, multivariate data sets is challenging, especially when some of these data objects are timeoriented. Exploring relationships between multivariate and temporal information, e.g., to identify patterns ...
Towards Combining Attribute-based and Time Series-based Visual Querying
(The Eurographics Association, 2016)
We present a concept for the visual-interactive definition of meaningful subsets in data sets comprising multivariate attributes and time series data. Based on a generalization of requirements of a real-world user group, ...
Combining the Automated Segmentation and Visual Analysis of Multivariate Time Series
(The Eurographics Association, 2018)
For the automatic segmentation of multivariate time series domain experts at first need to consider a huge space of alternative configurations of algorithms and parameters. We assume that only a small subset of these ...
Learning from the Best - Visual Analysis of a Quasi-Optimal Data Labeling Strategy
(The Eurographics Association, 2018)
An overarching goal of active learning strategies is to reduce the human effort when labeling datasets and training machine learning methods. In this work, we focus on the analysis of a (theoretical) quasi-optimal, ...
Smart Query Definition for Content-Based Search in Large Sets of Graphs
(The Eurographics Association, 2010)
Graphs are used in various application areas such as chemical, social or shareholder network analysis. Finding relevant graphs in large graph databases is thereby an important problem. Such search starts with the definition ...
Combining Cluster and Outlier Analysis with Visual Analytics
(The Eurographics Association, 2017)
Cluster and outlier analysis are two important tasks. Due to their nature these tasks seem to be opposed to each other, i.e., data objects either belong to a cluster structure or a sparsely populated outlier region. In ...
Neural Fields for Interactive Visualization of Statistical Dependencies in 3D Simulation Ensembles
(The Eurographics Association, 2023)
We present neural dependence fields (NDFs) - the first neural network that learns to compactly represent and efficiently reconstruct the statistical dependencies between the values of physical variables at different spatial ...