Chandrajit Bajaj
 Introduction | Visualization Tool | Filtering | Gradient Vector Diffusion | Segmentation | Skeletonization | References

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.

Volumetic Feature Extraction and Visualization of Tomographic Molecular Imaging (pdf).