Title | Immersive Visualization VR System of 3D Time-varying Field |
Publication Type | Conference Paper |
Year of Publication | 2021 |
Authors | Du, Hao, Zhang, Yu, Qin, Bo, Xu, Weiduo |
Conference Name | 2021 3rd International Academic Exchange Conference on Science and Technology Innovation (IAECST) |
Date Published | dec |
Keywords | composability, Data visualization, Deep Learning, feature extraction, features extraction, Flow Field Visualization, Human Behavior, human factors, Immersive Analysis, immersive systems, privacy, pubcrawl, rendering (computer graphics), Resiliency, Three-dimensional displays, virtual reality, visual effects |
Abstract | To meet the application need of dynamic visualization VR display of 3D time-varying field, this paper designed an immersive visualization VR system of 3D time-varying field based on the Unity 3D framework. To reduce visual confusion caused by 3D time-varying field flow line drawing and improve the quality and efficiency of visualization rendering drawing, deep learning was used to extract features from the mesoscale vortex of the 3D time-varying field. Moreover, the 3D flow line dynamic visualization drawing was implemented through the Unity Visual Effect Graph particle system. |
DOI | 10.1109/IAECST54258.2021.9695887 |
Citation Key | du_immersive_2021 |