期刊
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
卷 20, 期 12, 页码 1693-1702出版社
IEEE COMPUTER SOC
DOI: 10.1109/TVCG.2014.2346626
关键词
Composite visualization; hierarchical clustering; illustrative parallel coordinates; radial trees; 3D shape analysis
资金
- Austrian Science Fund (FWF) [P21695, P24597-N23]
- European Union under the ERC Advanced Grant [291372]
- Austrian Science Fund (FWF) [P 24597, P 21695] Funding Source: researchfish
- European Research Council (ERC) [291372] Funding Source: European Research Council (ERC)
- Austrian Science Fund (FWF) [P24597] Funding Source: Austrian Science Fund (FWF)
Geometry generators are commonly used in video games and evaluation systems for computer vision to create geometric shapes such as terrains, vegetation or airplanes. The parameters of the generator are often sampled automatically which can lead to many similar or unwanted geometric shapes. In this paper, we propose a novel visual exploration approach that combines the abstract parameter space of the geometry generator with the resulting 3D shapes in a composite visualization. Similar geometric shapes are first grouped using hierarchical clustering and then nested within an illustrative parallel coordinates visualization. This helps the user to study the sensitivity of the generator with respect to its parameter space and to identify invalid parameter settings. Starting from a compact overview representation, the user can iteratively drill-down into local shape differences by clicking on the respective clusters. Additionally, a linked radial tree gives an overview of the cluster hierarchy and enables the user to manually split or merge clusters. We evaluate our approach by exploring the parameter space of a cup generator and provide feedback from domain experts.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据