jueves, 15 de noviembre de 2012
Encuentro Linux 2012
martes, 5 de abril de 2011
Exámenes de titulación (05/04/2011)
Miércoles 6 de abril, 10:00 horas, Auditorio de la Facultad
Miércoles 6 de abril, 11:30 horas, Auditorio de la Facultad
Juan Ignacio Guajardo Urzúa
Jueves 7 de abril, 10:00 horas, Sala Reuniones Edif. Construcción
Marcelo Aaron Espina Rosas
Jueves 7 de abril, 11:30 horas, Sala Reuniones Edif. Construcción
Cristian Andrés Abarca Tapia
Viernes 8 de abril, 10:00 hrs, Sala Reuniones, Edif Azul
Mauricio Núñez Cuevas
Viernes 8 de abril, 11:30 horas, Sala Reuniones, Edif Azul
jueves, 17 de marzo de 2011
Leslie valant gana ACM Turing Award 2010 (17/03/2011)
jueves, 10 de marzo de 2011
Exalumno de la carrera le puso fin al consumo vampiro (10/03/2011)
viernes, 14 de enero de 2011
Seminario de Investigación (17/01/2011)
The single, perhaps most used type of uncertainty visualization is the use of error bars in one-dimensional graphs, common in science and engineering. In this thesis, I we will address the definition and implementation of new techniques for the visualization of uncertain
scientific data, with an emphasis in the visualization of two and three dimensional scalar datasets, and two dimensional flow fields.
For the visualization of scalar data, we start by developing the idea of uncertain contours in two dimensions, and together with their development, we also present a series of methods for their visualization. Later, these methods are extended, as to be also applicable for the visualization of three dimensional scalar data.
In turn, for the visualization of uncertain flow fields, we develope a series of modifications, either to specific stages of the algorithm, or by the addition of new visual properties, to two traditional texture-based methods, LIC and IBFV.
Finally, we provide through evaluation of our scalar and flow visualization techniques, concluding, for the second, that our methods are suitable for the encoding of uncertainty, and that users can map them back to their original numerical values.