MeTACAST: Target- and Context-Aware Spatial Selection in VR

We propose three novel spatial data selection techniques for particle data in VR visualization environments. They are designed to be target- and context-aware and be suitable for a wide range of data features and complex scenarios. Each technique is designed to be adjusted to particular selection in...

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Veröffentlicht in:	IEEE transactions on visualization and computer graphics 2024-01, Vol.30 (1), p.480-494
Hauptverfasser:	Zhao, Lixiang, Isenberg, Tobias, Xie, Fuqi, Liang, Hai-Ning, Yu, Lingyun
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science Context Data visualization Density measurement immersive analytics Particle measurements Shape Spatial data Spatial databases Spatial selection target-aware and context-aware interaction for visualization Three-dimensional displays virtual reality (VR) Volume measurement
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