INVESTIGADORES
MININNI Pablo Daniel
congresos y reuniones científicas
Título:
Segmentation and visualization of multivariate features using feature-local distributions
Autor/es:
K. GRUCHALLA; M. RAST; E. BRADLEY; P.D. MININNI
Lugar:
Las Vegas
Reunión:
Simposio; Advances in Visual Computing, 7th International Symposium, ISVC 2011; 2011
Institución organizadora:
ISVC
Resumen:
We introduce an iterative feature-based transfer function design that
extracts and systematically incorporates multivariate feature-local
statistics into a texture-based volume rendering process. We argue that
an interactive multivariate feature-local approach is advantageous when
investigating ill-defined features, because it provides a physically
meaningful, quantitatively rich environment within which to examine the
sensitivity of the structure properties to the identification
parameters. We demonstrate the efficacy of this approach by applying it
to vortical structures in Taylor-Green turbulence. Our approach
identified the existence of two distinct structure populations in these
data, which cannot be isolated or distinguished via traditional transfer
functions based on global distributions.