Rendering of surfaces from volume data
The application of volume-rendering techniques to the display of surfaces from sampled scalar functions of three spatial dimensions is explored. Fitting of geometric primitives to the sampled data is not required. Images are formed by directly shading each sample and projecting it onto the picture plane. Surface shading calculations are performed at every voxel with local gradient vectors serving as surface normals. In a separate step, surface classification operators are applied to obtain a partial opacity for every voxel. Operators that detect isovalue contour surfaces and region boundary surfaces are presented. Independence of shading and classification calculations insures an undistorted visualization of 3-D shape. Non-binary classification operators insure that small or poorly defined features are not lost. The resulting colors and opacities are composited from back to front along viewing rays to form an image. The technique is simple and fast, yet displays surfaces exhibiting smooth silhouettes and few other aliasing artifacts. The use of selective blurring and super-sampling to further improve image quality is also described. Examples from two applications are given: molecular graphics and medical imaging.
- Research Organization:
- North Carolina Univ., Chapel Hill (USA). Dept. of Computer Science
- OSTI ID:
- 6837627
- Report Number(s):
- AD-A-193649/1/XAB
- Resource Relation:
- Other Information: Revision of rept. dated June 1987
- Country of Publication:
- United States
- Language:
- English
Similar Records
Three-dimensional helical CT of intrahepatic venous structures: Comparison of three rendering techniques
Super-resolution reconstruction for 4D computed tomography of the lung via the projections onto convex sets approach