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Volume exploration using ellipsoidal Gaussian transfer functions
2010
2010 IEEE Pacific Visualization Symposium (PacificVis)
This paper presents an interactive transfer function design tool based on ellipsoidal Gaussian transfer functions (ETFs). Our approach explores volumetric features in the statistical space by modeling the space using the Gaussian mixture model (GMM) with a small number of Gaussians to maximize the likelihood of feature separation. Instant visual feedback is possible by mapping these Gaussians to ETFs and analytically integrating these ETFs in the context of the pre-integrated volume rendering
doi:10.1109/pacificvis.2010.5429612
dblp:conf/apvis/WangCSDC10
fatcat:ia6ygoxnsjgs7h2nm3asnihjnu