時間: 105年 6月3日（五）13:30~14:50
地點: 工三館 345室
主持人: 林奕成 副教授
演講者: Prof. Han-Wei Shen (沈漢威教授), Dept. of Computer Science and Engineering, the Ohio State University.
講題: Visualization of Uncertain Scientific Data Sets
摘要
As our ability to collect data from a variety of sources and
computational models continues to grow, it becomes increasingly more
important to visualize data sets that are inherently uncertain. In
this talk, I will discuss some of our recent effort on uncertain
scientific data visualization. In the first part of my talk, I will
discuss how to visualize the similarities and differences among an
ensemble of isosurfaces. We propose a scheme to visualize the spatial
variations of isosurfaces with respect to statistically significant
isosurfaces within the ensemble. Understanding such variations among
ensemble of isosurfaces at different spatial regions is helpful in
analyzing the influence of different ensemble runs over the spatial
domain. For uncertain vector fields, we present a novel probabilistic
method for streamline computation using a Bayesian framework. In
our work, a streamline is modeled as a state space model which
captures the spatial coherence of integration steps and uncertainty in
local distributions using the conditional prior density and the
likelihood function. To approximate the posterior distribution for all
the possible traces originating from a given seed position, a set of
weighted samples are iteratively updated from which streamlines with
higher likelihood can be derived.
演講者簡歷
Prof. Han-Wei Shen is a full professor at The Ohio State University.
He received his BS degree from Department of Computer Science and Information Engineering at National Taiwan University in 1988,
the MS degree in computer science from the State University of New York at Stony Brook in 1992,
and the PhD degree in computer science from the University of Utah in 1998.
From 1996 to 1999, he was a research scientist at NASA Ames Research Center in Mountain View California.
His primary research interests are scientific visualization and computer graphics.
Professor Shen is a winner of National Science Foundation's CAREER award and US Department of Energy's Early Career Principal Investigator Award.
He also won the Outstanding Teaching award twice in the Department of Computer Science and Engineering at the Ohio State University.