Projects: Sampling Filters and Grids

Sampling (the estimation of the formerly continuous signal from its discrete samples) is an essential part of volume visualization, where datasets are given as a set of points. These points are distributed (due to acquisition and/or data simplification) either regularly or irregularly in space, and therefore studies in sampling theory and data grids bring out many common issues. In this project we seek to research more accurate (and hopefully also more effcient) methods by which to sample and represent discrete signals. Our research extends to issues pertaining to the acquisition of the data as well, via CT, SPECT, MRI, and functional MRI (fMRI).

VDVR: Verifiable Volume Visualization of Projection-Based Data
Z. Zheng, W. Xu, K. Mueller
IEEE Transactions on Visualization and Computer Graphics
16(6):1515-1524, 2010

Applications of optimal sampling lattices for volume acquisition via 3D computed tomography
F . Xu and K. Mueller
Volume Graphics Symposium
Prague, Czech Republic, September 2007
pp. 57-63
Spline-based gradient filters for high-quality refraction computations in discrete datasets
S. Li and K. Mueller
Eurographics / IEEE VGTC Symposium on Visualization
Leeds, England, June 2005
pp. 217-222

Methods for effcient, high quality volume resampling in the frequency domain 
A. Li and K. Mueller
IEEE Visualization 2004
Austin, Texas, October 2004
pp. 3-10

A frequency-sensitive point hierarchy for images and volumes
T. Welsh and K. Mueller
IEEE Visualization 2003
Seattle, October, 2003
pp. 425-432

Space-time points: Splatting in 4D
N. Neophytou and K. Mueller
Symposium on Volume Visualization and Graphics 2002
Boston, October 2002
pp. 97-106
Design of accurate and smooth filters for function and derivative reconstruction
T. Möller, K. Mueller, Y. Kurzion, R. Machiraju, and R. Yagel
1998 Symposium on Volume Visualization
Chapel Hill, October 1998
pp. 143-151 
A comparison of normal estimation schemes
T. Möller, R. Machiraju, K. Mueller, and R. Yagel
IEEE Visualization'97
Phoenix, October 1997
pp. 19-26
Evaluation and design of filters using a Taylor series expansion
T. Möller, R. Machiraju, K. Mueller, and Roni Yagel
IEEE Transactions on Visualization and Computer Graphics
vol. 3, no. 2, pp. 184-199, 1997
Classification and local error estimation of interpolation and derivative filters for volume rendering
T. Möller, R. Machiraju, K. Mueller, and Roni Yagel
1996 Symposium on Volume Visualization
San Francisco, October 1996
pp. 71-78, 1996.




Last update: June 27, 2005