Interactive Visualization of Hyperspectral Images of Historical Documents
Associate Professor Michael S. Brown (Department of Computer Science, School of Computing, National University of Singapore )
NICTA SEMINARDATE: 2011-03-22
TIME: 18:00:00 - 19:00:00
LOCATION: NICTA - 7 London Circuit
CONTACT: JavaScript must be enabled to display this email address.
ABSTRACT:
In this talk, I will presents an interactive visualization tool to study and analyze hyperspectral images (HSI) of historical documents. This work is part of a collaborative effort with the Nationaal Archief of the Netherlands (NAN) and Art Innovation, a manufacturer of hyperspectral imaging hardware designed for old and fragile documents. The NAN is actively capturing HSI of historical documents for use in a variety of tasks related to the analysis and management of archival collections, from ink and paper analysis to monitoring the effects of environmental aging. To assist their work, we have developed a comprehensive visualization tool that offers an assortment of visualization and analysis methods, including interactive spectral selection, spectral similarity analysis, time-varying data analysis and visualization, and selective spectral band fusion. Evaluation feedback from our collaborators on how this tool beneits their work is included.
BIO:
Michael S. Brown obtained his BS and PhD in Computer Science from the University of Kentucky in 1995 and 2001 respectively. He was a visiting PhD student at the University of North Carolina at Chapel Hill from 1998-2000. Dr. Brown has held positions at the Hong Kong University of Science and Technology (2001-2004), California State University - Monterey Bay (2004-2005) and Nanyang Technological University (2005-2007). Since 2007 he has been with the National University of Singapore where he is currently an Associate Professor in the School of Computing. Dr. Brown has served as a program chair for the IEEE Workshop on Projector-Camera Systems (PROCAMS'08), IEEE Workshop on eHeritage'09, and IEEE Workshop on Applications of Computer Vision (WACV'11). He has served as an area chair for CVPR'09, ACCV'10, CVPR'11, and ICCV'11. His research interests include Computer Vision, Image Processing and Computer Graphics.
