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SUMMARY:Joint Contour Nets: Theory &amp\; Applications - Hamish Carr (Univ
 ersity of Leeds)
DTSTART:20121206T111500Z
DTEND:20121206T121500Z
UID:TALK41615@talks.cam.ac.uk
CONTACT:Vaiva Imbrasaite
DESCRIPTION:As scientific data sets increase in size and complexity\, scie
 ntific visualization increasingly depends on formal analysis of the data. 
 One of the most successful forms of analysis uses computational topology t
 o analyse properties such as minima\, maxima\, thresholds\, ridges and flo
 w. To date\, however\, these methods have been applied to univariate (scal
 ar) fields and to vector fields\, but not to the more general case of mult
 ivariate fields.\n\nIn particular\, Contour Trees and Reeb Graphs are ofte
 n used for analysing univariate (scalar) fields.  We generalize this analy
 sis to multivariate fields with a data structure called the Joint Contour 
 Net that quantizes the variation of multiple variables simultaneously. We 
 report the first algorithm for constructing the Joint Contour Net\, and de
 monstrate some of its fundamental properties. Based on this\, we also show
  some preliminary results on its use for visualization by applying it to a
  problem from nuclear fission analysis\, in which the topological insight 
 provided aided scientists in understanding a physical phenomenon.\n\nBiogr
 aphy:\n---------------\nHamish Carr completed his PhD at the University of
  British Columbia in May 2004 and has worked as a lecturer at University C
 ollege Dublin and a senior lecturer at the University of Leeds. His resear
 ch interests include scientific and medical visualization\, computational 
 geometry and topology\, computer graphics and geometric applications 
LOCATION:Rainbow Room (SS03)\, Computer Laboratory
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