Visualizing Features and Tracking Their Evolution

Scientists studying the dynamics of objects can use these visualization techniques to extract objects from 2D and 3D scalar and vector fields and thereby reduce “visual clutter.” S cientific visualization aims to devise algorithms and methods that transform massive scientific data sets into pictures and other graphic representations that facilitate comprehension and interpretation. In many scientific domains, analysis of these pictures has motivated further scientific investigation- laboratory experiments. numerical simulations. or remote observations. If a particular region of activity is of interest, scientists attempt to identify and quantify it: What is it, what is its cause, how does it evolve, how long does it persist’