报告时间：2019年12月30日 上午 9:00
【一】报告题目：Evidence-based Visual Analytics: Three Case Studies from Astrophysics
Astrophysics can be regarded as the ultimate remote sensing because no one can travel to see the heavenly bodies far from Earth. Astronomers’ only option is to observe and analyze the variety of evidential signals emanating from these distant bodies. Such work can prompt them to develop greater enthusiasm for data visualization than those in other disciplines. Indeed, astrophysics relies heavily on observed data visualization and analysis. This talk provides an overview of the latest research results from three collaborative research projects with astronomers, which examine the asymmetric biclustering of multivariate data for correlated subspace mining and its application to type Ia supernovae, TimeTubes for visually extracting characteristic polarization variations from long sequences of observed blazar datasets, and aflak as a novel visual programming environment to tweak fine-grained transformations and visual analytics filtering for multispectral astrophysical observations.
ssei Fujishiro is currently a professor in the Department of Information and Computer Science at Keio University in Yokohama, Japan. He received his Doctor of Science in information sciences from the University of Tokyo in 1988. His research interests include shape representations and modeling paradigms, applied visualization design and lifecycle management, and smart ambient media with multimodal displays. He has served on the steering committees for IEEE SciVis and IEEE PacificVis as well as on the editorial boards for IEEE TVCG (1999 to 2003, 2018 to date), Elsevier Computers & Graphics (2003 to 2013), and Elsevier Journal of Visual Informatics (2016 to date). He was a SciVis paper co-chair for IEEE VIS 2019/2018, a program co-chair for ACM VRCAI 2014 and PacificVis 2008, the general chair for CG International 2017, ACM VRCAI 2015, and PacificVis 2014, and a workshop co-chair for PacificVAST 2018 and TopoInVis 2017. He is also a member of the Science Council of Japan. E-mail: email@example.com
【二】Computational Ophthalmology - Digital Approaches to Visually Impaired Support
摘要：According to World Health Organization, it is estimated that approximately 1.3 billion people live with some form of vision impairment globally. The majority of people with vision impairment are over the age of 50 years and ageing are increasing the risk that more people acquire vision impairment. Many vision problems, such as color deficiency is currently not curable. In conventional ophthalmology, various optical instruments are developed to support the daily life of people with vision impairment, such as the polarizing filter for correcting the color tone, prism glasses for refracting the light to correct the viewing direction, eyepieces that temporarily block the field of view on the side where there is an abnormality. These optical medical instruments are customized by tailor-made and their functions and effects are determined at the design stage, though the symptom of many kinds of vision impairment may change time to time depending on the body conditions and the progression of the disease causing the vision impairment.
In this talk, I’ll introduce our project on developing computing technology to support people with vision impairment. After introducing the basic concept and framework of computational ophthalmology aiming at using advanced image processing and augmented reality technology to adaptively enhance the capability of visually impaired people, I’ll present some of our recent research work including the naturalness- and information-preserving image recoloring for red–green dichromats and arriving light control of optical see-through head-mounted display for color vision deficiency compensation.
iaoyang Mao received her B.S. in Computer Science from Fudan University, China, M.S. and Ph.D in Computer Science from University of Tokyo, Japan. She is currently a professor at Computer Science and Engineering Department, University of Yamanashi, Japan. She was a postdoctoral research fellow at the State University of New York at Stony Brook, USA, during 1994 and 1995, and a visiting researcher at the computer vision laboratory of University of California at Berkeley, USA, during 2004 and 2005. Her research interests include image processing, computer graphics, virtual/augmented reality and visualization. She has published over 200 technical papers and served on the program committee of many international conferences, such as the Program Committee Co-Chair of Cyberworlds 2013, NICOGRAPH International 2016 and Computer Graphics International 2017. She is an associate editor of The Visual Computer Journal (Springer) and a member of the administrative board of Japan Society of Art and Science. She has received Computer Graphics International 2018 Career Achievement Award.