Hui Tang 

2017/05

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This is a summary of my experience in a Scientific Visualization course.

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Scientific visualization concerned with the visual representation of numerical datasets obtained through measurements or simulations. It provides interactive graphical interfaces to datasets of in situ attributes within a defined field that affords researchers a powerful and intuitive basis for interpretation, assessment, and decision making.

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The course projects implemented several skills and techniques in Visualization Toolkit (VTK) and Python including:

• Differential Geometry visualization of smooth manifold

• Grids and data reconstruction with interpolation and color mapping

• Isolines and Isosurfaces visualization using Marching tetrahedra

• Streamlines and Stream Surfaces of dense flow visualization using Runge-Kutta 4th order in Line Integral Convolution