Topology Preserving Smoothing of Vector Fields R. Westermann, C.R. Johnson, T. Ertl. In IEEE Trans. Vis & Comp. Graph., Vol. 7, No. 3, pp. 222--229. 2001. DOI: 10.1109/2945.942690 Proposes a technique for topology-preserving smoothing of sampled vector fields. The vector field data is first converted into a scalar representation in which time surfaces implicitly exist as level sets. We then locally analyze the dynamic behavior of the level sets by placing geometric primitives in the scalar field and by subsequently distorting these primitives with respect to local variations in this field. From the distorted primitives, we calculate the curvature normal and we use the normal magnitude and its direction to separate distinct flow features. Geometrical and topological considerations are then combined to successively smooth dense flow fields, at the same time retaining their topological structure. Keywords: vector field methods, ip image processing signal processing, surface processing, ncrr |
The Visual Haptic Workbench J.D. Brederson, M. Ikits, C.R. Johnson, C.D. Hansen, J.M. Hollerbach. In Proceedings of the Fifth PHANToM Users Group Workshop, pp. 46--49. October, 2000. |
A Level-Set Method for Flow Visualization R. Westermann, C.R. Johnson, T. Ertl. In Proceeding of IEEE Visualization 2000, IEEE Computer Society, Salt Lake City pp. 147--154. 2000. |
An Inverse EEG Problem Solving Environment and its Applications to EEG Source Localization D.M. Weinstein, L. Zhukov, C.R. Johnson. In NeuroImage (suppl.), pp. 921. 2000. |
The SCIRun Parallel Scientific Computing Problem Solving Environment C.R. Johnson, S.G. Parker. In Ninth SIAM Conference on Parallel Processing for Scientific Computing, 1999. |
Interactive Simulation and Visualization C.R. Johnson, S.G. Parker, C.D. Hansen, G.L. Kindlmann, Y. Livnat. In IEEE Computer, Vol. 32, No. 12, pp. 59--65. Dec, 1999. |
Computer Visualization in Medicine C.R. Johnson. In National Forum, Vol. Fall, pp. 17--21. 1998. |