7. References

  • Bajaj et al., 2001. C. Bajaj, I. Ihm and S. Park, 3D RGB image compression for interactive applications. CM Trans. Graph. 20 1 (2001), pp. 10-38.
  • Bajaj et al., 2001. Bajaj, C., Ihm, I., Park, S., 2001. Visualization-specific compression of large volume data. In: Proceedings of Pacific Graphics. Tokyo, Japan, pp. 212-222
  • Bajaj et al., 1996. Bajaj, C., Pascucci, V., Schikore, D.R., 1996. Fast Isocontouring for Improved Interactivity. In: Proceedings of the 1996 Symposium for Volume Visualization. pp. 39-46
  • Bajaj et al., 1997. Bajaj, C., Pascucci, V., Schikore, D., 1997. The contour spectrum. In: Proceedings of IEEE Visualization ’97. pp. 167-175
  • Bajaj et al., 1998. C. Bajaj, V. Pascucci and D. Schikore, Visualization of scalar topology for structural enhancement. IEEE Visual. (1998), pp. 51-58.
  • Bajaj and Schikore, 1996. Bajaj, C., Schikore, D.R., 1996. Error-bounded reduction of triangle meshes with multivariate data. In: Proceedings of Visual Data Exporation and Analysis III. SPIE, vol. 2656, pp. 34-45
  • Bajaj et al., 2003. Bajaj, C., Wu, Q., Xu, G., 2003. Level-set based volumetric anisotropic diffusion for 3d image denoising. In: ICES Technical Report, University of Texas at Austin
  • Yu and Bajaj, 2002a. Z. Yu and C. Bajaj, Anisotropic vector diffusion in image smoothing. Proc. Int. Conf. Image Process. (2002), pp. 828-831.
  • Yu and Bajaj, 2002b. Z. Yu and C. Bajaj, Image segmentation using gradient vector diffusion and region merging. Proc. Int. Conf. Pattern Recognit. (2002), pp. 941-944.
  • Yu and Bajaj, 2002c. Z. Yu and C. Bajaj, Normalized gradient vector diffusion and image segmentation. Proc. Eur. Conf. Comput. Vision (2002), pp. 517-530.
  • Posters
    • Volumetic Feature Extraction and Visualization of Tomographic Molecular Imaging (pdf).