H.Q. DINH

Analyzing vector fields impacts a diverse range of industries, including computational fluid dynamics (CFD), ocean engineering, medical imaging, and video and satellite imaging analysis among many others. We introduce algorithms for detecting local and global patterns in vector fields by capturing the statistics of the vector field in distributions that are then quantitatively compared for pattern detection. We show that global distributions are capable of distinguishing between vector fields of varying complexity and can be used to quantitatively compare similar fields.