Deep learning approaches in flow visualization
Can Liu, Ruike Jiang, Datong Wei, Changhe Yang, Yanda Li, Fang Wang, Xiaoru Yuan
Abstract
Abstract With the development of deep learning (DL) techniques, many tasks in flow visualization that used to rely on complex analysis algorithms now can be replaced by DL methods. We reviewed the approaches to deep learning technology in flow visualization and discussed the technical benefits of these approaches. We also analyzed the prospects of the development of flow visualization with the help of deep learning.
Topics & Concepts
VisualizationDeep learningComputer scienceArtificial intelligenceFlow visualizationFlow (mathematics)Data scienceMathematicsGeometryImage Processing and 3D ReconstructionTime Series Analysis and ForecastingAnomaly Detection Techniques and Applications