Surface Processing, Reconstruction, Segmentation with Level Sets:

1. O. Nemitz, M. Rumpf, T. Tasdizen, R. Whitaker, “Anisotropic curvature motion for structure enhancing smoothing of 3D MR angiography data”, Journal of Mathematical Imaging and Vision, 27(3):217-229, 2007.
2. T. Tasdizen, R. Whitaker, “Higher-order nonlinear priors for surface reconstruction”, IEEE Trans. on Pattern Recognition and Machine Intelligence, 26(7), pp. 878–891, 2004.
3. T. Tasdizen, R.Whitaker, P.Burchard, S.Osher, “Geometric surface processing via normal maps”, ACM Trans. on Graphics, 22(4), pp. 1012–1033, 2003.
4. R. Whitaker, J. Gregor, “A maximum likelihood surface estimator for dense range data”, IEEE Trans. on Pattern Analysis and Machine Intelligence, 24(10), pp. 1372–1387, 2002.
5. R. Whitaker, E. L. Valdes-Juarez, “On the reconstruction of height functions and terrain maps from dense range data”, IEEE Trans. on Image Processing, 11(7), pp. 704–716, 2002.
6. K. Museth, D. Breen, L. Zhukov, R. Whitaker, “Level-set segmentation from multiple non-uniform volume datasets”, Proc. IEEE Visualization, pp. 179–186, 2002.
7. K. Museth, D. Breen, R. Whitaker, A. Barr, “Level-set surface editing operators”, in ACM SIGGRAPH, pp. 330–338, 2002.
8. D. Breen, R. Whitaker, “A level-set approach to 3D shape metamorphosis”, IEEE Trans. on Visualiza- tion and Computer Graphics, 7(2), pp. 173–192, 2001.
9. R. Whitaker, “A level-set approach to 3D reconstruction from range data”, Int. Journal of Computer Vision, pp. 203–231, 1998.
10. R. Whitaker, “Volumetric deformable models: active blobs”, Visualization in Biomedical Computing (R. Robb Ed.), pp. 122–134, 1994.