Open AccessResearch of text visualization in 3D environment based on parameter study
Author(s) -
Yinggang Jing,
Fan Zhang,
Huajian Fang,
Shan He
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2253/1/012021
Subject(s) - visualization , set (abstract data type) , computer science , information visualization , position (finance) , point (geometry) , data mining , value (mathematics) , event (particle physics) , creative visualization , information retrieval , machine learning , mathematics , geometry , physics , finance , quantum mechanics , economics , programming language
The text visualization in 3D environment is quite complex due to the characteristics of 3D scene. In this paper we propose to study a group of 3D text information visualization based on parameter study. The primary text information visualization position is set as an initial point. Then, several different level-of-details for the texts are designed as the Event LoDs. Firstly, the parameter study for different EventLoDs is conducted, followed by the parameter study for the different size value. Based on the two groups of parameter study result, a use case is applied to test the effect. Finally, the summary and future work is given.