An Entropy-Based Approach for Identifying User-Preferred Camera Positions

Nicole Marsaglia, Yuya Kawakami, Samuel D. Schwartz,Stefan Fields,Hank Childs

2021 IEEE 11th Symposium on Large Data Analysis and Visualization (LDAV)(2021)

引用 3|浏览2
暂无评分
摘要
Viewpoint Quality (VQ) metrics have the potential to predict human preferences for camera placement. With this study, we introduce new VQ metrics that incorporate entropy, and explore how they can be used in combination. Our evaluation involves three phases: (1) creating a database of isosurface imagery from ten large, scientific data sets, (2) conducting a user study with approximately 30 large d...
更多
查看译文
关键词
Viewpoint Quality Metrics,View-Dependent Visualization,Automating Visualization
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要