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User-study Based Optimization of Fast and Accurate Mahalanobis Brushing in Scatterplots
(The Eurographics Association, 2017)
Brushing is at the heart of most modern visual analytics solutions with coordinated, multiple views and effective brushing is crucial for swift and efficient processes in data exploration and analysis. Given a certain data ...
Understanding Spatial Perception and Visual Modes in the Review of Architectural Designs
(ACM, 2017)
We investigate how a person's perception of space in di erent visual modes relates to common computational spatial measures for environment designs. The three spatial measures, grounded in Space-Syntax analysis, are used ...
Holo Worlds Infinite: Procedural Spatial Aware AR Content
(The Eurographics Association, 2017)
We developed an Augmented Reality (AR) application that procedurally generates content which is programmatically placed on the floor. It uses its awareness of its spatial surroundings to generate and place virtual content. ...
Visual Analytics for Multitemporal Aerial Image Georeferencing
(The Eurographics Association, 2017)
Georeferencing of multitemporal aerial imagery is a time-consuming and challenging task that typically requires a high degree of human intervention, and which appears in application domains of critical importance, like ...
Visual Eddy Analysis of the Agulhas Current
(The Eurographics Association, 2017)
Large mesoscale eddies in the ocean can transport a substantial amount of heat and salt over large distances. Using highresolution ICON ocean simulation data, it is possible to detect and track eddies in the ocean and ...
3D Ground Reaction Force Visualization onto Training Video for Sprint Training Support System
(The Eurographics Association, 2017)
We propose a method for visualizing 3D ground reaction forces for sprint training. Currently, sprinters can check their 3D ground force data using a 2D graph representation. In order to check the relationship between 3D ...
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 ...