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Full-Text Articles in Graphics and Human Computer Interfaces

Extracting Flow Features Using Bag-Of-Features And Supervised Learning Techniques, Yifei Li Jan 2015

Extracting Flow Features Using Bag-Of-Features And Supervised Learning Techniques, Yifei Li

Dissertations, Master's Theses and Master's Reports

Measuring the similarity between two streamlines is fundamental to many important flow data analysis and visualization tasks such as feature detection, pattern querying and streamline clustering. This dissertation presents a novel streamline similarity measure inspired by the bag-of-features concept from computer vision. Different from other streamline similarity measures, the proposed one considers both the distribution of and the distances among features along a streamline. The proposed measure is tested in two common tasks in vector field exploration: streamline similarity query and streamline clustering. Compared with a recent streamline similarity measure, the proposed measure allows users to see the interesting features …


Enabling Techniques For Expressive Flow Field Visualization And Exploration, Jun Tao Jan 2015

Enabling Techniques For Expressive Flow Field Visualization And Exploration, Jun Tao

Dissertations, Master's Theses and Master's Reports

Flow visualization plays an important role in many scientific and engineering disciplines such as climate modeling, turbulent combustion, and automobile design. The most common method for flow visualization is to display integral flow lines such as streamlines computed from particle tracing. Effective streamline visualization should capture flow patterns and display them with appropriate density, so that critical flow information can be visually acquired. In this dissertation, we present several approaches that facilitate expressive flow field visualization and exploration. First, we design a unified information-theoretic framework to model streamline selection and viewpoint selection as symmetric problems. Two interrelated information channels are …